---
title: "Who cites Avirup Sil — page 2 — 849 papers of our library"
description: "849 papers of the Elamur Research library cite the works of Avirup Sil, found in their bibliographies · page 2 of 3 · 101–200; the most cited first."
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---
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# Who cites Avirup Sil

858 citations of their works from 849 papers of our library (of the 149,439 whose bibliographies we read) · 202 with a page here, the most cited first · page 2 of 3 · 101–200 · [← Avirup Sil](https://md.research.elamur.ai/free/en/authors/avirup-sil/)

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101. **[s3: You Don't Need That Much Data to Train a Search Agent via RL](https://md.research.elamur.ai/free/en/papers/jiang-2025-s3-you-don-t-need/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, et al.*2025 · 12 citations*
102. **[RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game](https://md.research.elamur.ai/free/en/papers/xu-2026-rcbsf-multi-agent-framework-automated/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shijia Xu, Yu Wang, Xiaolong Jia, et al.*2026 · 11 citations*
103. **[Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization](https://md.research.elamur.ai/free/en/papers/huang-2025-improving-contextual-faithfulness-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Huang, Xiaocheng Feng, Weitao Ma, et al.*2025 · 11 citations*
104. **[SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence](https://md.research.elamur.ai/free/en/papers/liu-2025-selfelicit-your-language-model-secretly/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, et al.*2025 · 11 citations*
105. **[DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking](https://md.research.elamur.ai/free/en/papers/li-2025-deepsolution-boosting-complex-engineering-solution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuoqun Li, Haiyang Yu, Xuanang Chen, et al.*2025 · 10 citations*
106. **[Progressive Multimodal Reasoning via Active Retrieval](https://md.research.elamur.ai/free/en/papers/dong-2025-progressive-multimodal-reasoning-active-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanting Dong, Chenghao Zhang, Mengjie Deng, et al.*2025 · 10 citations*
107. **[RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wang-2025-richrag-crafting-rich-responses-multi/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shuting Wang, Xin Yu, Mang Wang, et al.*2025 · 10 citations*
108. **[Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning](https://md.research.elamur.ai/free/en/papers/xu-2025-parenting-optimizing-knowledge-selection-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.*2025 · 9 citations*
109. **[Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning](https://md.research.elamur.ai/free/en/papers/li-2026-retrieval-as-generation-unified-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bo Li, Mingda Wang, Gexiang Fang, et al.*2026 · 8 citations*
110. **[R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhao-2026-r-search-empowering-llm-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingfei Zhao, Ruobing Wang, Dingling Xu, et al.*2026 · 7 citations*
111. **[Lightweight LLM Agent Memory with Small Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-lightweight-llm-agent-memory-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaquan Zhang, Chaoning Zhang, Shuxu Chen, et al.*2026 · 6 citations*
112. **[Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models](https://md.research.elamur.ai/free/en/papers/huang-2025-embedding-informed-adaptive-retrieval-augmented/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Chengkai Huang, Yu Xia, Rui Wang, et al.*2025 · 5 citations*
113. **[Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach](https://md.research.elamur.ai/free/en/papers/zeng-2025-context-robust-llms-gated-representation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shenglai Zeng, Pengfei He, Kai Guo, et al.*2025 · 5 citations*
114. **[Test-time Corpus Feedback: From Retrieval to RAG](https://md.research.elamur.ai/free/en/papers/rathee-2026-test-time-corpus-feedback-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mandeep Rathee, Venktesh V, Sean MacAvaney, et al.*2026 · 4 citations*
115. [**Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models arXiv:2412.15265**Yingshui Tan, Boren Zheng, Baihui Zheng, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/tan-2024-chinese-safetyqa-safety-short/)
116. **[Evaluating the Effect of Retrieval Augmentation on Social Biases](https://md.research.elamur.ai/free/en/papers/zhang-2026-evaluating-effect-retrieval-augmentation-social/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tianhui Zhang, Yi Zhou, Danushka Bollegala*2026 · 3 citations*
117. **[RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://md.research.elamur.ai/free/en/papers/zou-2026-rag-over-tables-hierarchical-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaru Zou, Dongqi Fu, Sirui Chen, et al.*2026 · 3 citations*
118. **[a1: Steep Test-time Scaling Law via Environment Augmented Generation](https://md.research.elamur.ai/free/en/papers/mei-2026-a1-steep-test-time-scaling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.*2026 · 2 citations*
119. **[Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)](https://md.research.elamur.ai/free/en/papers/mori-2026-differentially-private-synthetic-text-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junki Mori, Kazuya Kakizaki, Taiki Miyagawa, et al.*2026 · 2 citations*
120. **[QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/min-2026-quco-rag-quantifying-uncertainty-pre/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dehai Min, Kailin Zhang, Tongtong Wu, et al.*2026 · 2 citations*
121. **[Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents](https://md.research.elamur.ai/free/en/papers/sharifymoghaddam-2026-rerank-before-you-reason-analyzing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sahel Sharifymoghaddam, Jimmy Lin*2026 · 2 citations*
122. **[SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking](https://md.research.elamur.ai/free/en/papers/tran-2026-semviqa-semantic-question-answering-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dien X. Tran, Nam V. Nguyen, Tran Tan Thanh, et al.*2026 · 2 citations*
123. **[ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling](https://md.research.elamur.ai/free/en/papers/xu-2026-thinknote-enhancing-knowledge-integration-utilization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhipeng Xu, Zhenghao Liu, Yukun Yan, et al.*2026 · 2 citations*
124. [**Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components arXiv:2506.06339**Jumana Alsubhi, Mohammad D. Alahmadi, Ahmed Alhusayni, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alsubhi-2025-optimizing-rag-pipelines-arabic-systematic/)
125. **[A Review of Incorporating Psychological Theories in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2026-review-incorporating-psychological-theories-llms/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zizhou Liu, Ziwei Gong, Lin Ai, et al.*2026 · 1 citation*
126. **[Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/schreieder-2026-attribution-citation-quotation-survey-evidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tobias Schreieder, Tim Schopf, Michael Färber*2026 · 1 citation*
127. **[Can LLMs Compress (and Decompress)? Evaluating Code Understanding and Execution via Invertibility](https://md.research.elamur.ai/free/en/papers/maveli-2026-can-llms-compress-decompress-evaluating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nickil Maveli, Antonio Vergari, Shay B Cohen*2026 · 1 citation*
128. **[Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/ren-2026-context-attended-adversarial-reinforcement-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.*2026 · 1 citation*
129. **[Efficient Table Retrieval and Understanding with Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-efficient-table-retrieval-understanding-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuoyan Xu, Haoyang Fang, Boran Han, et al.*2026 · 1 citation*
130. **[From “Thinking” to “Justifying”: Aligning High-Stakes Explainability with Professional Communication Standards](https://md.research.elamur.ai/free/en/papers/qian-2026-thinking-justifying-aligning-high-stakes/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chen Qian, Yimeng Wang, Yu Chen, et al.*2026 · 1 citation*
131. **[RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/murugaraj-2026-ragvue-diagnostic-view-explainable-automated/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald*2026 · 1 citation*
132. **[SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents](https://md.research.elamur.ai/free/en/papers/zhan-2026-safesearch-do-not-trade-safety/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiusi Zhan, Angeline Budiman-Chan, Abdelrahman Zayed, et al.*2026 · 1 citation*
133. **[TRACE: Evidence Grounding-Guided Multi-Video Event Understanding and Claim Generation](https://md.research.elamur.ai/free/en/papers/yan-2026-trace-evidence-grounding-guided-multi/) [Workshop on Multimodal Augmented Generation via Multimodal Retrieval](https://md.research.elamur.ai/free/en/venues/magmar/)**Pengyu Yan, Akhil V S S Gorugantu, Mahesh Bhosale, et al.*2026 · 1 citation*
134. **[T²-RAGBench: Text-and-Table Benchmark for Evaluating Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/strich-2026-t-2-ragbench-text-table/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jan Strich, Enes Kutay Isgorur, Maximilian Trescher, et al.*2026 · 1 citation*
135. **[uva-irlab-conv at SemEval-2026 Task 8: Multi-Turn RAG with Learned Sparse Retrieval and Listwise Reranking](https://md.research.elamur.ai/free/en/papers/lupart-2026-uva-irlab-conv-semeval-2026/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Simon Lupart, Kidist Mekonnen, Zahra Abbasiantaeb, et al.*2026 · 1 citation*
136. **[When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-when-retrieval-doesn-t-help/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Erfan Nourbakhsh, Rocky Slavin, Ke Yang, et al.*2026 · 1 citation*
137. **[A Survey of Large Language Model-Based Search Agents](https://md.research.elamur.ai/free/en/papers/xi-2026-survey-large-language-model-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunjia Xi, Jianghao Lin, Yongzhao Xiao, et al.*2026*
138. **[AED-RAG: Continuous Multi-Granular Context Fusion for Retrieval-Augmented Generation via Adaptive Ensemble Decoding](https://md.research.elamur.ai/free/en/papers/zhou-2026-aed-rag-continuous-multi-granular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junzhe Zhou, Fulin Lin, Tairan Cheng, et al.*2026*
139. **[Agentic Context Strategies for Multi-Format Document Understanding: When Should Language Models Use Tools?](https://md.research.elamur.ai/free/en/papers/uniyal-2026-agentic-context-strategies-multi-format/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mansi Uniyal, Mukul Singh, Ryan Nadel*2026*
140. **[AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-amata-adaptive-multi-agent-trajectory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taolin Zhang, Dongyang Li, Chen Chen, et al.*2026*
141. **[An Answer is just the Start: Related Insight Generation for Open-Ended Document-Grounded QA](https://md.research.elamur.ai/free/en/papers/sharma-2026-answer-is-just-start-related/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saransh Sharma, Pritika Ramu, Aparna Garimella, et al.*2026*
142. **[Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QA](https://md.research.elamur.ai/free/en/papers/maheshwary-2026-augmenting-llm-reasoning-dynamic-notes/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.*2026*
143. **[AWARE: Agentic Knowledge Warehousing for Contextual Intelligence](https://md.research.elamur.ai/free/en/papers/qian-2026-aware-agentic-knowledge-warehousing-contextual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hongjin Qian, Siqi Bao, Zhao Cao, et al.*2026*
144. **[BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation](https://md.research.elamur.ai/free/en/papers/yuan-2026-bayesflow-probability-inference-framework-meta/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo Yuan, Yun Zhou, Zhichao Xu, et al.*2026*
145. **[Benchmarking Deflection and Hallucination in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/moratelli-2026-benchmarking-deflection-hallucination-large-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, et al.*2026*
146. **[Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-explicit-refusals-soft-failure/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wentao Zhang, Yan Zhuang, ZhuHang Zheng, et al.*2026*
147. **[BubbleRAG: Interactive Cognitive Offloading with Thought Bubble in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/ye-2026-bubblerag-interactive-cognitive-offloading-thought/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fuda Ye, Jiachuan Wang, Yongqi Zhang, et al.*2026*
148. **[CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question Answering](https://md.research.elamur.ai/free/en/papers/wu-2026-camec-complexity-aware-multi-expert/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yukang Wu, Xiyuan Jia, Jiayi Wu, et al.*2026*
149. **[Causal Evidence Extraction and Triangulation in Crisis Reports using Large Language Models: A ReliefWeb-based Study](https://md.research.elamur.ai/free/en/papers/zhang-2026-causal-evidence-extraction-triangulation-crisis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuanjun Zhang, Mourad Oussalah*2026*
150. **[CheckRLM: Effective Knowledge–Thought Coherence Checking in Retrieval-Augmented Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-checkrlm-effective-knowledge-thought-coherence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dingling Xu, Ruobing Wang, Qingfei Zhao, et al.*2026*
151. **[CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/wei-2026-cirag-construction-integration-retrieval-adaptive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zili Wei, Yilin Wang, Xiaocui Yang, et al.*2026*
152. **[ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/nkhata-2026-clusterrag-cluster-based-collaborative-filtering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai, et al.*2026*
153. **[CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations](https://md.research.elamur.ai/free/en/papers/shi-2026-coda-restoring-contextual-dominance-copy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**JinWei Shi, Qizhuo Xie, Qianzi Hou, et al.*2026*
154. **[Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules](https://md.research.elamur.ai/free/en/papers/ma-2026-conflict-aware-memory-embodied-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kexin Ma, Haotian Wang, Shenglin Chen, et al.*2026*
155. **[CoVaPh: A Vision-Language Multi-Agent Dialogue System for Tool-Augmented Pharmacogenetic Reasoning and Personalized Guidance](https://md.research.elamur.ai/free/en/papers/lu-2026-covaph-vision-language-multi-agent/) [International Workshop on Spoken Dialogue System Technology](https://md.research.elamur.ai/free/en/venues/iwsds/)**Shang-Chun Luke Lu, Hsin Yang, Hui-Hsin Xue, et al.*2026*
156. **[CrossDDI: Cross-Source Evidence-Grounded Drug-Drug Interaction Verification](https://md.research.elamur.ai/free/en/papers/wang-2026-crossddi-cross-source-evidence-grounded/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Hui Wang, Bohao Chu, Norbert Fuhr*2026*
157. **[D2PCM:A Multi-Turn Dialogue Dataset with Personalized Contextual Memory](https://md.research.elamur.ai/free/en/papers/yang-2026-d2pcm-multi-turn-dialogue-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhe Yang, Yi Huang, Yaqin Chen, et al.*2026*
158. **[Deep-Reporter: Deep Research for Grounded Multimodal Long-Form Generation](https://md.research.elamur.ai/free/en/papers/ye-2026-deep-reporter-deep-research-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangda Ye, Kuicai Dong, Xie Zhifei, et al.*2026*
159. **[Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints](https://md.research.elamur.ai/free/en/papers/yin-2026-deliberative-searcher-improving-llm-reliability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenyun Yin, Shujie Wang, Xuhong Wang, et al.*2026*
160. **[Domain-Specific Data Generation Framework for RAG Adaptation](https://md.research.elamur.ai/free/en/papers/tian-2026-domain-specific-data-generation-framework/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chris Xing Tian, Weihao Xie, Zhen Chen, et al.*2026*
161. **[Dynamic Graph Navigation via Triplet Chains for Structure-Aware Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-dynamic-graph-navigation-triplet-chains/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Feng Zhao, Yufei Wu, Xianggan Liu, et al.*2026*
162. **[D²-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware Decoding](https://md.research.elamur.ai/free/en/papers/zhang-2026-d-2-rag-dual-decision/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinshuo Zhang, Xiaoding Zhou, Weiyu Zhang, et al.*2026*
163. **[Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-enhancing-llm-based-search-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junzhe Wang, Zhiheng Xi, Yajie Yang, et al.*2026*
164. **[Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization Modeling](https://md.research.elamur.ai/free/en/papers/xie-2026-escaping-sisyphus-dilemma-experience-replay/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wantong Xie, Yinghao Chen, Yi-Xiang Hu, et al.*2026*
165. **[Eval-RAR: Evaluation-Driven Retrieval-Augmented Reasoning via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yu-2026-eval-rar-evaluation-driven-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Heng Yu, Rui Li, Qi Liu, et al.*2026*
166. **[Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-tuning-vs-rag-multi/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Zhuoyi Yang, Yurun Song, Kyler G. Harris, et al.*2026*
167. **[FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow](https://md.research.elamur.ai/free/en/papers/zhan-2026-flowrag-synergizing-explicit-reasoning-frequency/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bihao Zhan, Zongsheng Cao, Jie Zhou, et al.*2026*
168. **[From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-experience-skill-multi-agent-generative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Beining Wu, Fuyou Mao, Jiong Lin, et al.*2026*
169. **[GCIG: GraphRAG-based Cross-document Instruction Generation for Boosting LLM Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-gcig-graphrag-based-cross-document/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaoliang Xu, Huang Yuan, Junmei Wang, et al.*2026*
170. **[Ghost Context: Measuring Cross-Context Interference in Long-Context Language Models](https://md.research.elamur.ai/free/en/papers/namboothiri-2026-ghost-context-measuring-cross-context/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Rohith Namboothiri*2026*
171. **[HyperMem: Hypergraph Memory for Long-Term Conversations](https://md.research.elamur.ai/free/en/papers/yue-2026-hypermem-hypergraph-memory-long-term/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Juwei Yue, Chuanrui Hu, Jiawei Sheng, et al.*2026*
172. **[Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization](https://md.research.elamur.ai/free/en/papers/zhang-2026-improving-retrieval-augmented-generation-without/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gongbo Zhang, Yifan Peng, Chunhua Weng*2026*
173. **[IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/yun-2026-itercomp-reasoning-aware-adaptive-prompt/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**JungMin Yun, YoungBin Kim*2026*
174. **[LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zheng-2026-lcr-rag-enhancing-logical-consistency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenxiang Zheng, Guo Tang, Shixin Jiang, et al.*2026*
175. **[Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/zhao-2026-learning-extract-rational-evidence-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinping Zhao, Shouzheng Huang, Yan Zhong, et al.*2026*
176. **[LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail Entities](https://md.research.elamur.ai/free/en/papers/xion-2026-longtailqa-benchmarking-llms-rag-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**William Xion, Uwe Hadler, Tim Cofala, et al.*2026*
177. **[MAB-DQA: Addressing Query Aspect Importance in Document Question Answering with Multi-Armed Bandits](https://md.research.elamur.ai/free/en/papers/xiang-2026-mab-dqa-addressing-query-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Xiang, Yunshan Ma, Xiaoyu Du, et al.*2026*
178. **[MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/xiao-2026-mass-rag-multi-agent-synthesis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingchen Xiao, Heyan Huang, Runheng Liu, et al.*2026*
179. **[MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers](https://md.research.elamur.ai/free/en/papers/ma-2026-match-modulating-attention-context-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linrui Ma, Chun Hei Lo, Xinyu Wang, et al.*2026*
180. **[MindFlayer at SemEval-2026 Task 8:DUALRAG:Answerability-Aware Generation for Multi-Turn RAG Conversations](https://md.research.elamur.ai/free/en/papers/tuli-2026-mindflayer-semeval-2026-task-8/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Jerin Romijah Tuli, Md. Sartaj Alam Pritom, Talukder Naemul Hasan Naem*2026*
181. **[MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation](https://md.research.elamur.ai/free/en/papers/wei-2026-mode-rag-manifold-outlier-diagnosis/) [Workshop on Multimodal Augmented Generation via Multimodal Retrieval](https://md.research.elamur.ai/free/en/venues/magmar/)**Zehang Wei, JiaXin Dai, Jiamin Yan, et al.*2026*
182. **[NeuRAG: End-to-End Neural Knowledge Augmentation via Hyper-Neurons](https://md.research.elamur.ai/free/en/papers/zheng-2026-neurag-end-end-neural-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liwei Zheng, Xuemin Liu, Jie Liu*2026*
183. **[Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-optimizing-rag-rerankers-llm-feedback/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Wu, Xiangqing Shen, Fanfan Wang, et al.*2026*
184. **[PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding](https://md.research.elamur.ai/free/en/papers/someki-2026-planrag-audio-planning-retrieval-augmented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Masao Someki, Chien-yu Huang, Siddhant Arora, et al.*2026*
185. **[PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption](https://md.research.elamur.ai/free/en/papers/tan-2026-pra-rag-provably-robust-aggregation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xue Tan, Yi Zheng, Chang Huo, et al.*2026*
186. **[RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation](https://md.research.elamur.ai/free/en/papers/xu-2026-rag-wild-effectiveness-llms-mixture/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ran Xu, Yuchen Zhuang, Yue Yu, et al.*2026*
187. **[Reasoning with Memory: Adaptive Information Management for Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/man-2026-reasoning-memory-adaptive-information-management/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hieu Man, Ro-ee Tal, Abhishek Kumar, et al.*2026*
188. **[Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wu-2026-reflective-rag-self-evaluation-driven/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyan Wu, Chenchen Wang, Chaoqun Sun, et al.*2026*
189. **[Reinforcing Agentic Search Via Reward Density Optimization](https://md.research.elamur.ai/free/en/papers/luo-2026-reinforcing-agentic-search-reward-density/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kun Luo, Hongjin Qian, Zheng Liu, et al.*2026*
190. **[Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem](https://md.research.elamur.ai/free/en/papers/song-2026-rethinking-retrieval-augmented-generation-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lichang Song, Ting Long, Yi Chang*2026*
191. **[SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback](https://md.research.elamur.ai/free/en/papers/xu-2026-sage-steerable-agentic-data-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fangyuan Xu, Rujun Han, Yanfei Chen, et al.*2026*
192. **[STEM: Structure-Tracing Evidence Mining for Knowledge Graphs-Driven Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/yu-2026-stem-structure-tracing-evidence-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peng Yu, En Xu, Bin Chen, et al.*2026*
193. **[Structured Dialogue Refinement: Building Retrieval-Augmented Question Answering on Goal-Oriented Dialogues](https://md.research.elamur.ai/free/en/papers/wu-2026-structured-dialogue-refinement-building-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bin Wu, Sawan Kumar, Prasetya Ajie Utama, et al.*2026*
194. **[SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization](https://md.research.elamur.ai/free/en/papers/vijayaraghavan-2026-symdirec-neuro-symbolic-divide-retrieve/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, et al.*2026*
195. **[Test-Time Training for Zero-Resource Dense Retrieval Reranking](https://md.research.elamur.ai/free/en/papers/liu-2026-test-time-training-zero-resource/) [Workshop on Towards Knowledgeable Foundation Models](https://md.research.elamur.ai/free/en/venues/knowfm/)**Shiyan Liu, Yichen Li*2026*
196. **[Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context](https://md.research.elamur.ai/free/en/papers/zhu-2026-text-distribution-prediction-quantile-tokens/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhu, Yuan Zhuang, Nikhita Vedula, et al.*2026*
197. **[The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-retrieval-bottleneck-scaling-laws-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shu Zhou, Jinman Leng, Yufei Song, et al.*2026*
198. **[Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/liu-2026-think-parallax-solving-multi-hop/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinliang Liu, Jiale Bai, Shaoning Zeng*2026*
199. **[Truth or Dare: Analyzing LLM Susceptibility to External Evidence of Varying Factuality](https://md.research.elamur.ai/free/en/papers/su-2026-truth-or-dare-analyzing-llm/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Han-Yu Su, Kuan-Yu Chu, Yung-Hui Li, et al.*2026*
200. **[Understanding the Behaviors of Environment-aware Information Retrieval](https://md.research.elamur.ai/free/en/papers/yuan-2026-understanding-behaviors-environment-aware-information/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruifeng Yuan, Chaohao Yuan, David Dai, et al.*2026*

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