---
title: "Who cites Luke Hewitt — page 2 — 2,176 papers of our library"
description: "2,176 papers of the Elamur Research library cite the works of Luke Hewitt, found in their bibliographies · page 2 of 7 · 101–200; the most cited first."
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---
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# Who cites Luke Hewitt

2,178 citations of their works from 2,176 papers of our library (of the 149,439 whose bibliographies we read) · 615 with a page here, the most cited first · page 2 of 7 · 101–200 · [← Luke Hewitt](https://md.research.elamur.ai/free/en/authors/luke-hewitt/)

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101. **[Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chih-Kai Yang, Neo S. Ho, Hung-yi Lee*2025 · 17 citations*
102. **[MMSearch-R1: Incentivizing LMMs to Search](https://md.research.elamur.ai/free/en/papers/wu-2026-mmsearch-r1-incentivizing-lmms-search/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinming Wu, Zihao Deng, Wei Li, et al.*2026 · 16 citations*
103. **[New Trends for Modern Machine Translation with Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-new-trends-modern-machine-translation/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sinuo Liu, Chenyang Lyu, Minghao Wu, et al.*2026 · 16 citations*
104. **[Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs](https://md.research.elamur.ai/free/en/papers/ghallabi-2025-fann-or-flop-multigenre-multiera/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura, et al.*2025 · 16 citations*
105. **[Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?](https://md.research.elamur.ai/free/en/papers/shen-2025-mind-value-action-gap-do/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hua Shen, Nicholas Clark, Tanu Mitra*2025 · 16 citations*
106. **[PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving](https://md.research.elamur.ai/free/en/papers/parmar-2025-plangen-multi-agent-framework-generating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mihir Parmar, Xin Liu, Palash Goyal, et al.*2025 · 16 citations*
107. **[METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/li-2025-metal-multi-agent-framework-chart/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.*2025 · 15 citations*
108. [**Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning arXiv:2508.08221**Zihe Liu, Jiashun Liu, Yancheng He, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-part-i-tricks-traps-deep/)
109. [**Rethinking Reflection in Pre-Training arXiv:2504.04022**Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/shah-2025-rethinking-reflection-pre-training/)
110. [**Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection arXiv:2405.02318**Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/lalwani-2024-autoformalizing-natural-language-first-order/)
111. [**Data-driven Discovery with Large Generative Models arXiv:2402.13610**Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/majumder-2024-data-driven-discovery-large-generative/)
112. **[Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?](https://md.research.elamur.ai/free/en/papers/mei-2026-reasoning-about-uncertainty-do-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiting Mei, Christina Zhang, Tenny Yin, et al.*2026 · 14 citations*
113. **[Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings](https://md.research.elamur.ai/free/en/papers/xu-2025-does-context-matter-contextualjudgebench-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Austin Xu, Srijan Bansal, Yifei Ming, et al.*2025 · 14 citations*
114. **[MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming](https://md.research.elamur.ai/free/en/papers/guo-2025-mtsa-multi-turn-safety-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weiyang Guo, Jing Li, Wenya Wang, et al.*2025 · 14 citations*
115. **[DataSciBench: An LLM Agent Benchmark for Data Science](https://md.research.elamur.ai/free/en/papers/zhang-2026-datascibench-llm-agent-benchmark-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dan Zhang, Sining Zhoubian, Min Cai, et al.*2026 · 13 citations*
116. **[Semantic-Aware Logical Reasoning via a Semiotic Framework](https://md.research.elamur.ai/free/en/papers/zhang-2026-semantic-aware-logical-reasoning-semiotic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunyao Zhang, Xinglang Zhang, Junxi Sheng, et al.*2026 · 13 citations*
117. **[Enhancing Automated Interpretability with Output-Centric Feature Descriptions](https://md.research.elamur.ai/free/en/papers/arieh-2025-enhancing-automated-interpretability-output-centric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yoav Gur-Arieh, Roy Mayan, Chen Agassy, et al.*2025 · 13 citations*
118. **[MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?](https://md.research.elamur.ai/free/en/papers/zhang-2025-mlrc-bench-language-agents/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, et al.*2025 · 13 citations*
119. **[VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search](https://md.research.elamur.ai/free/en/papers/wang-2025-visuothink-empowering-lvlm-reasoning-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yikun Wang, Siyin Wang, Qinyuan Cheng, et al.*2025 · 13 citations*
120. [**When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research arXiv:2505.11855**Guijin Son, Jiwoo Hong, Honglu Fan, et al.*2025 · 13 citations*](https://md.research.elamur.ai/free/en/papers/son-2025-ai-co-scientists-fail/)
121. **[CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios](https://md.research.elamur.ai/free/en/papers/huang-2025-critictool-evaluating-self-critique-capabilities/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shiting Huang, Zhen Fang, Zehui Chen, et al.*2025 · 12 citations*
122. **[LaMP-QA: A Benchmark for Personalized Long-form Question Answering](https://md.research.elamur.ai/free/en/papers/salemi-2025-lamp-qa-benchmark-personalized-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alireza Salemi, Hamed Zamani*2025 · 12 citations*
123. [**LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research arXiv:2506.17335**Shuo Yan, Ruochen Li, Ziming Luo, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/yan-2025-lmr-bench-evaluating-llm/)
124. **[MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2025-molorag-bootstrapping-document-understanding-multi/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xixi Wu, Yanchao Tan, Nan Hou, et al.*2025 · 12 citations*
125. **[MultiLoKo: a multilingual local knowledge benchmark for LLMs spanning 31 languages](https://md.research.elamur.ai/free/en/papers/hupkes-2025-multiloko-multilingual-local-knowledge-benchmark/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Dieuwke Hupkes, Nikolay Bogoychev*2025 · 12 citations*
126. [**SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge arXiv:2509.07968**Lukas Haas, Gal Yona, Giovanni D'Antonio, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/haas-2025-simpleqa-verified-reliable-factuality-benchmark/)
127. **[VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues](https://md.research.elamur.ai/free/en/papers/zhang-2025-vlm2-bench-closer-look-how/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianshu Zhang, Dongyu Yao, Renjie Pi, et al.*2025 · 12 citations*
128. [**When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning arXiv:2504.01005**Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/singhi-2025-solve-verify-compute-optimal-problem/)
129. **[DeepTrans: Deep Reasoning Translation via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-deeptrans-deep-reasoning-translation-reinforcement/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaan Wang, Fandong Meng, Jie Zhou*2026 · 11 citations*
130. **[UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision](https://md.research.elamur.ai/free/en/papers/fang-2026-unicorn-self-improving-unified-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Fang, Ruiyan Han, XinYu Sun, et al.*2026 · 11 citations*
131. **[Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions](https://md.research.elamur.ai/free/en/papers/zhang-2025-autoformalization-wild-assessing-llms-real/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lan Zhang, Marco Valentino, Andre Freitas*2025 · 11 citations*
132. **[GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning](https://md.research.elamur.ai/free/en/papers/ramos-2025-grammamt-improving-machine-translation-grammar/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve, et al.*2025 · 11 citations*
133. **[Route Sparse Autoencoder to Interpret Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2025-route-sparse-autoencoder-interpret-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wei Shi, Sihang Li, Tao Liang, et al.*2025 · 11 citations*
134. [**SaRO: Enhancing LLM Safety through Reasoning-based Alignment arXiv:2504.09420**Yutao Mou, Yuxiao Luo, Shikun Zhang, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/mou-2025-saro-enhancing-llm-safety-through/)
135. [**ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows arXiv:2505.19897**Qiushi Sun, Zhoumianze Liu, Chang Ma, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/sun-2025-scienceboard-evaluating-multimodal-autonomous-agents/)
136. **[Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/xuan-2025-seeing-is-believing-but-how/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.*2025 · 11 citations*
137. **[VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts](https://md.research.elamur.ai/free/en/papers/liu-2025-verifact-enhancing-long-form-factuality/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xin Liu, Lechen Zhang, Sheza Munir, et al.*2025 · 11 citations*
138. **[SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation](https://md.research.elamur.ai/free/en/papers/yang-2026-ssr-zero-simple-self-rewarding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenjie Yang, Mao Zheng, Mingyang Song, et al.*2026 · 10 citations*
139. **[Audio-centric Video Understanding Benchmark without Text Shortcut](https://md.research.elamur.ai/free/en/papers/yang-2025-audio-centric-video-understanding-benchmark/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yudong Yang, Jimin Zhuang, Guangzhi Sun, et al.*2025 · 10 citations*
140. [**Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL arXiv:2505.17952**Che Liu, Haozhe Wang, Jiazhen Pan, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-distillation-pushing-limits-medical-llm/)
141. **[Beyond the Surface: Measuring Self-Preference in LLM Judgments](https://md.research.elamur.ai/free/en/papers/chen-2025-beyond-surface-measuring-self-preference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, et al.*2025 · 10 citations*
142. **[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*
143. **[Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards](https://md.research.elamur.ai/free/en/papers/wei-2025-igniting-creative-writing-small-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaolong Wei, Bo Lu, Xingyu Zhang, et al.*2025 · 10 citations*
144. [**Implicit Reasoning in Large Language Models: A Comprehensive Survey arXiv:2509.02350**Jindong Li, Yali Fu, Li Fan, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-implicit-reasoning-large-language-models/)
145. **[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*
146. [**Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning arXiv:2504.16656**Peiyu Wang, Yichen Wei, Yi Peng, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-skywork-r1v2-multimodal-hybrid/)
147. **[HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/zhang-2026-hermes-kv-cache-as-hierarchical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haowei Zhang, Shudong Yang, Jinlan Fu, et al.*2026 · 9 citations*
148. **[LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark](https://md.research.elamur.ai/free/en/papers/liu-2026-learnact-few-shot-mobile-gui/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guangyi Liu, Pengxiang Zhao, Liang Liu, et al.*2026 · 9 citations*
149. **[MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation](https://md.research.elamur.ai/free/en/papers/li-2026-mtr-bench-comprehensive-benchmark-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyuan Li, Keqin Bao, Yubo Ma, et al.*2026 · 9 citations*
150. [**Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks arXiv:2602.05125**William F. Shen, Xinchi Qiu, Chenxi Whitehouse, et al.*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/shen-2026-rethinking-rubric-generation-improving-llm/)
151. [**100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models arXiv:2505.00551**Chong Zhang, Yue Deng, Xiang Lin, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-100-days-after-deepseek/)
152. **[AraHalluEval: A Fine-grained Hallucination Evaluation Framework for Arabic LLMs](https://md.research.elamur.ai/free/en/papers/alansari-2025-arahallueval-fine-grained-hallucination-evaluation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Aisha Alansari, Hamzah Luqman*2025 · 9 citations*
153. **[Examining False Positives under Inference Scaling for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2025-examining-false-positives-under-inference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yu Wang, Nan Yang, Liang Wang, et al.*2025 · 9 citations*
154. **[GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent](https://md.research.elamur.ai/free/en/papers/xie-2025-gui-explorer-autonomous-exploration-mining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bin Xie, Rui Shao, Gongwei Chen, et al.*2025 · 9 citations*
155. **[SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning](https://md.research.elamur.ai/free/en/papers/zhou-2025-safekey-amplifying-aha-moment-insights/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, et al.*2025 · 9 citations*
156. **[Theorem Prover as a Judge for Synthetic Data Generation](https://md.research.elamur.ai/free/en/papers/leang-2025-theorem-prover-as-judge-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joshua Ong Jun Leang, Giwon Hong, Wenda Li, et al.*2025 · 9 citations*
157. **[Thinking Out Loud: Do Reasoning Models Know When They're Right?](https://md.research.elamur.ai/free/en/papers/zeng-2025-thinking-out-loud-do-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingcheng Zeng, Weihao Xuan, Leyang Cui, et al.*2025 · 9 citations*
158. **[VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/sima-2025-viscra-visual-chain-reasoning-attack/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bingrui Sima, Linhua Cong, Wenxuan Wang, et al.*2025 · 9 citations*
159. **[VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search](https://md.research.elamur.ai/free/en/papers/jia-2025-visualwebinstruct-scaling-up-multimodal-instruction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yiming Jia, Jiachen Li, Xiang Yue, et al.*2025 · 9 citations*
160. **[VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models](https://md.research.elamur.ai/free/en/papers/cui-2025-voxeval-benchmarking-knowledge-understanding-capabilities/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqian Cui, Xiaoqi Jiao, Ziqiao Meng, et al.*2025 · 9 citations*
161. [**Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree? arXiv:2410.05584**Xueru Wen, Jie Lou, Yaojie Lu, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/wen-2024-rethinking-reward-model-evaluation-barking/)
162. **[PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-perm-psychology-grounded-empathetic-reward/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengbing Wang, Wuqiang Zheng, Yang Zhang, et al.*2026 · 8 citations*
163. **[Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning](https://md.research.elamur.ai/free/en/papers/dai-2026-psyche-r1-reliable-psychological-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chongyuan Dai, Jinpeng Hu, Hongchang Shi, et al.*2026 · 8 citations*
164. **[Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty](https://md.research.elamur.ai/free/en/papers/xue-2026-reason-only-when-needed-efficient/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chao Xue, Yao Wang, Mengqiao Liu, et al.*2026 · 8 citations*
165. **[T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-t2i-reasonbench-benchmarking-reasoning-informed/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaiyue Sun, Rongyao Fang, Chengqi Duan, et al.*2026 · 8 citations*
166. [**Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers arXiv:2503.00865**Yiran Zhao, Chaoqun Liu, Yue Deng, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2025-babel-open-multilingual-large-language/)
167. **[Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and Sundanese](https://md.research.elamur.ai/free/en/papers/pranida-2025-culturally-nuanced-story-generation-reasoning/) [Workshop on Multilingual Representation Learning](https://md.research.elamur.ai/free/en/venues/mrl/)**Salsabila Zahirah Pranida, Rifo Ahmad Genadi, Fajri Koto*2025 · 8 citations*
168. **[LAQuer: Localized Attribution Queries in Content-grounded Generation](https://md.research.elamur.ai/free/en/papers/hirsch-2025-laquer-localized-attribution-queries-content/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Eran Hirsch, Aviv Slobodkin, David Wan, et al.*2025 · 8 citations*
169. **[Nudging: Inference-time Alignment of LLMs via Guided Decoding](https://md.research.elamur.ai/free/en/papers/fei-2025-nudging-inference-time-alignment-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Fei, Yasaman Razeghi, Sameer Singh*2025 · 8 citations*
170. **[ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA](https://md.research.elamur.ai/free/en/papers/xinjie-2025-reagent-reversible-multi-agent-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhao Xinjie, Fan Gao, Xingyu Song, et al.*2025 · 8 citations*
171. [**ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization arXiv:2510.24592**Guoxin Chen, Jing Wu, Xinjie Chen, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-reform-reflective-autoformalization-prospective-bounded/)
172. **[Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious Questions](https://md.research.elamur.ai/free/en/papers/atif-2025-sacred-synthetic-evaluating-llm-reliability/) [Proceedings of the AAAI/ACM Conference on AI Ethics and Society](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-acm-conference-on-ai-ethics-and-society/)**Farah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.*2025 · 8 citations*
173. **[T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts](https://md.research.elamur.ai/free/en/papers/huang-2025-t2i-factualbench-benchmarking-factuality-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwei Huang, Wanggui He, Quanyu Long, et al.*2025 · 8 citations*
174. [**Manipulating language models' training data to study syntactic constraint learning: the case of English passivization arXiv:2407.04593**Cara Su-Yi Leong, Tal Linzen*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/leong-2024-manipulating-language-models-training-data/)
175. **[Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions](https://md.research.elamur.ai/free/en/papers/gan-2026-android-coach-improve-online-agentic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guo Gan, Yuxuan Ding, Cong Chen, et al.*2026 · 7 citations*
176. **[Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyang Yu, Yuchuan Wu, Fan Shi, et al.*2026 · 7 citations*
177. **[Localized Cultural Knowledge is Conserved and Controllable in Large Language Models](https://md.research.elamur.ai/free/en/papers/veselovsky-2026-localized-cultural-knowledge-is-conserved/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Veniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.*2026 · 7 citations*
178. **[MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools](https://md.research.elamur.ai/free/en/papers/wang-2026-mcp-flow-facilitating-llm-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**WenHao Wang, Peizhi Niu, Zhao Xu, et al.*2026 · 7 citations*
179. **[ProgressLM: Towards Progress Reasoning in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-progresslm-progress-reasoning-vision-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianshu Zhang, Chengxuan Qian, Haosen Sun, et al.*2026 · 7 citations*
180. **[SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature](https://md.research.elamur.ai/free/en/papers/ding-2026-scirag-adaptive-citation-aware-outline/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hang Ding, Yilun Zhao, Tiansheng Hu, et al.*2026 · 7 citations*
181. **[Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/hu-2025-context-reasoner-incentivizing-reasoning-capability/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenbin Hu, Haoran Li, Huihao Jing, et al.*2025 · 7 citations*
182. **[MPO: Multilingual Safety Alignment via Reward Gap Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2025-mpo-multilingual-safety-alignment-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixiang Zhao, Yulin Hu, Yang Deng, et al.*2025 · 7 citations*
183. **[NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark](https://md.research.elamur.ai/free/en/papers/mikhailov-2025-noreval-norwegian-language-understanding-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vladislav Mikhailov, Tita Enstad, David Samuel, et al.*2025 · 7 citations*
184. **[NYUAD at QIAS Shared Task: Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-nyuad-qias-shared-task-benchmarking/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Nouar AlDahoul, Yasir Zaki*2025 · 7 citations*
185. [**Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought arXiv:2510.04230**Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/son-2025-pushing-multilingual-reasoning-models-language/)
186. [**StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion arXiv:2508.04440**Yutong Wu, Di Huang, Ruosi Wan, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-stepfun-formalizer-unlocking-autoformalization/)
187. **[Through the Valley: Path to Effective Long CoT Training for Small Language Models](https://md.research.elamur.ai/free/en/papers/luo-2025-through-valley-path-effective-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Renjie Luo, Jiaxi Li, Chen Huang, et al.*2025 · 7 citations*
188. **[CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic](https://md.research.elamur.ai/free/en/papers/zhang-2026-criticsearch-fine-grained-credit-assignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yaocheng Zhang, Haohuan Huang, Zijun Song, et al.*2026 · 6 citations*
189. **[Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs](https://md.research.elamur.ai/free/en/papers/zhou-2026-flattery-motion-benchmarking-analyzing-sycophancy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenrui Zhou, Mohamed Hendy, Shu Yang, et al.*2026 · 6 citations*
190. **[GAMBIT: A Gamified Jailbreak Framework for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/hu-2026-gambit-gamified-jailbreak-framework-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangdong Hu, Yangyang Jiang, Qin Hu, et al.*2026 · 6 citations*
191. **[Glyph: Scaling Context Windows via Visual-Text Compression](https://md.research.elamur.ai/free/en/papers/cheng-2026-glyph-scaling-context-windows-visual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiale Cheng, Yusen Liu, Xinyu Zhang, et al.*2026 · 6 citations*
192. **[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*
193. **[SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-superwriter-reflection-driven-long-form/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuhao Wu, Yushi Bai, Zhiqiang Hu, et al.*2026 · 6 citations*
194. [**Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe arXiv:2605.03677**Wenjin Hou, Shangpin Peng, Weinong Wang, et al.*2026 · 6 citations*](https://md.research.elamur.ai/free/en/papers/hou-2026-uni-opd-unifying-policy-distillation/)
195. **[VideoPro: Adaptive Program Reasoning for Long Video Understanding](https://md.research.elamur.ai/free/en/papers/li-2026-videopro-adaptive-program-reasoning-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenglin Li, Feng Han, Yikun Wang, et al.*2026 · 6 citations*
196. **[FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving](https://md.research.elamur.ai/free/en/papers/chen-2025-finereason-evaluating-improving-llms-deliberate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guizhen Chen, Weiwen Xu, Hao Zhang, et al.*2025 · 6 citations*
197. [**Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges arXiv:2502.08680**Safal Shrestha, Minwu Kim, Keith Ross*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shrestha-2025-mathematical-reasoning-large-language-models/)
198. **[MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-metafaith-faithful-natural-language-uncertainty/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.*2025 · 6 citations*
199. [**Skywork-R1V3 Technical Report arXiv:2507.06167**Wei Shen, Jiangbo Pei, Yi Peng, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/shen-2025-skywork-r1v3-technical-report/)
200. [**Thinking with Sound: Audio Chain-of-Thought Enables Multimodal Reasoning in Large Audio-Language Models arXiv:2509.21749**Zhen Xiong, Yujun Cai, Zhecheng Li, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2025-thinking-sound-audio-chain-thought/)

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