---
title: "Findings of the Association for Computational Linguistics 2026 —"
description: "All 2,517 papers of Findings of the Association for Computational Linguistics 2026 · page 12 of 26, the most cited first; those with our…"
canonical: "https://research.elamur.ai/free/en/venues/findings/2026/papers/page/12/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/findings/2026/papers/page/12/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Findings of the Association for…](https://md.research.elamur.ai/free/en/venues/findings/) / [2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) / [papers](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/) / page 12

# Findings of the Association for Computational Linguistics 2026: all accepted papers

2,517 papers · page 12 of 26 · the most cited first · [← Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

[← prev](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/11/) [1](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/) … [10](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/10/) [11](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/11/) **12** [13](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/13/) … [20](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/20/) … [26](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/26/) [next →](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/13/)

1101. **[FABLE: Fine-grained Fact Anchoring for Unstructured Model Editing ↗](https://aclanthology.org/2026.findings-acl.714/)**Peng Wang, Biyu Zhou, Xuehai Tang et al.
1102. **[FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning ↗](https://aclanthology.org/2026.findings-acl.1014/)**Yuxi Sun, Aoqi Zuo, Haotian Xie et al.
1103. **[FACTS: Table Summarization via Offline Template Generation with Agentic Workflows ↗](https://aclanthology.org/2026.findings-acl.453/)**Ye Yuan, Mohammad Amin Shabani, Siqi Liu
1104. **[FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning ↗](https://aclanthology.org/2026.findings-acl.948/)**Hao Song, Kaifeng Liu, Yuanxing Liu et al.
1105. **[FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness ↗](https://aclanthology.org/2026.findings-acl.684/)**Xiaoning Dong, Chengyan Wu, Yajie Wen et al.
1106. **[FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments ↗](https://aclanthology.org/2026.findings-acl.1716/)**Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay et al.
1107. **[FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware Quantization ↗](https://aclanthology.org/2026.findings-acl.1079/)**Haiyang Xiao, Weiqing Li, Jinyue Guo et al.
1108. **[FARSS: Fisher-Optimized Adaptive Low-Rank and Singular-Vector Selection for Knowledge-Preserving Fine-Tuning ↗](https://aclanthology.org/2026.findings-acl.883/)**Renxing Chen, Ziwei Xiang, Peisong Wang et al.
1109. **[FFN Lens: How Transformers Divide Labor for Multilingual Tasks ↗](https://aclanthology.org/2026.findings-acl.1180/)**Jiatong Li, Hailong Cao, Yang Liu
1110. **[FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation ↗](https://aclanthology.org/2026.findings-acl.555/)**Liqiang Jing, Viet Dac Lai, Seunghyun Yoon et al.
1111. **[FIND: Toward Multimodal Financial Reasoning and Question Answering for Indic Languages ↗](https://aclanthology.org/2026.findings-acl.1639/)**Sarmistha Das, Vaibhav Vishal, Syed Ibrahim Ahmad et al.
1112. **[FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation ↗](https://aclanthology.org/2026.findings-eacl.327/)**Juhyun Oh, Nayeon Lee, Chani Jung et al.
1113. **[FLARE: Task-Agnostic Embedding Model Evaluation via Normalizing Flows ↗](https://aclanthology.org/2026.findings-acl.1957/)**Jingzhou Jiang, Yixuan Tang, Yi Yang et al.
1114. **[FLASH: Focused Layer Attention Sink Hijacking ↗](https://aclanthology.org/2026.findings-acl.1039/)**Siyuan Deng, Yerong Li, Fanhua Shang et al.
1115. **[FLEXITOKENS: Flexible Tokenization for Evolving Language Models ↗](https://aclanthology.org/2026.findings-acl.848/)**Abraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar
1116. **[FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation ↗](https://aclanthology.org/2026.findings-eacl.269/)**Yulia Otmakhova, Thinh Hung Truong, Rahmad Mahendra et al.
1117. **[FOCUS: A Fine-Grained Customer-Oriented Sentiment Dialogue Summarization Dataset for Chinese Customer Service ↗](https://aclanthology.org/2026.findings-acl.1141/)**Qian Chen, Mengqiang Hu, Xin Guo
1118. **[FOL-Traces: Verified First-Order Logic Reasoning Traces at Scale ↗](https://aclanthology.org/2026.findings-eacl.115/)**Isabelle Lee, Sarah Liaw, Dani Yogatama
1119. **[FTibSuite: A Comprehensive Resource Suite for Tibetan Vision–Language Modeling ↗](https://aclanthology.org/2026.findings-acl.903/)**Guixian Xu, Yide Liang, Zeli Su et al.
1120. **[FactAppeal: Identifying Epistemic Factual Appeals in News Media ↗](https://aclanthology.org/2026.findings-eacl.344/)**Guy Mor-Lan, Tamir Sheafer, Shaul R. Shenhav
1121. **[FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs ↗](https://aclanthology.org/2026.findings-eacl.296/)**Albert Sawczyn, Jakub Binkowski, Denis Janiak et al.
1122. **[Failures are Treasures: Constructing a Pedagogical Bridge for Agentic Strategy Distillation ↗](https://aclanthology.org/2026.findings-acl.938/)**Jiaxin Guo, Hao Sun, Wenhao Zhang et al.
1123. **[Fair RAG: End-to-End Fairness Across Retrieval and Generation ↗](https://aclanthology.org/2026.findings-acl.1358/)**Farsheed Haque, Zhe Fu, Ramit Aditya et al.
1124. **[FaithLens: Detecting and Explaining Faithfulness Hallucination ↗](https://aclanthology.org/2026.findings-acl.689/)**Shuzheng Si, Qingyi Wang, Haozhe Zhao et al.
1125. **[Faithful Persona Steering under Incongruity via Dual-Stream Refinement ↗](https://aclanthology.org/2026.findings-acl.1205/)**Yu-An Chu, Jen-Ren Pong, Chia-Yao Yeh et al.
1126. **[Faithful-First Reasoning, Planning, and Acting for Multimodal LLMs ↗](https://aclanthology.org/2026.findings-acl.336/)**Junxian Li, Xinyue Xu, Sai Ma et al.
1127. **[Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence ↗](https://aclanthology.org/2026.findings-acl.1847/)**Kaijie Mo, Siddhartha Venkatayogi, Chantal Shaib et al.
1128. **[FalconCopilot: Empowering LLMs Towards Integrated Human-Machine Systems for Aviation Autonomy ↗](https://aclanthology.org/2026.findings-acl.1500/)**Jingyuan Yan, Qingchen Liu, Qichao Ma et al.
1129. **[False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize ↗](https://aclanthology.org/2026.findings-acl.1300/)**Cheng Wang, Zeming Wei, Qin Liu et al.
1130. **[Fast Retrieval and Slow Reasoning for Explainable Multimodal Sentiment Analysis ↗](https://aclanthology.org/2026.findings-acl.1519/)**Aoqiang Zhu, Min Hu, Yan Xing
1131. **[Fast and Effective On-Policy Distillation from Reasoning Prefixes ↗](https://aclanthology.org/2026.findings-acl.1276/)**Dongxu Zhang, Zhichao Yang, Sepehr Janghorbani et al.
1132. **[Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules ↗](https://aclanthology.org/2026.findings-acl.1782/)**Amr Mohamed, Yang Zhang, Michalis Vazirgiannis et al.
1133. **[FastDiSS: Few-step Match Many-step Diffusion Language Model on Sequence-to-Sequence Generation ↗](https://aclanthology.org/2026.findings-acl.870/)**Dat Nguyen Cong, Tung Kieu, Hoang Thanh-Tung
1134. **[Faster MoE LLM Inference for Extremely Large Models ↗](https://aclanthology.org/2026.findings-acl.2140/)**Haoqi Yang, Luohe Shi, Qiwei Li et al.
1135. **[Feasible is Not Enough: Cost-Aware Optimal Tool-Chain Planning on Multi-Solution Tool Graphs ↗](https://aclanthology.org/2026.findings-acl.860/)**Liangliang Liu, Yanming Li, Yigang Liu et al.
1136. **[Feature Drift: How Fine-Tuning Repurposes Representations in LLMs ↗](https://aclanthology.org/2026.findings-eacl.96/)**Andrey V. Galichin, Anton Korznikov, Alexey Dontsov et al.
1137. **[FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems ↗](https://aclanthology.org/2026.findings-acl.1436/)**WenHao Wang, Haoting Shi, Mengying Yuan et al.
1138. **[FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation ↗](https://aclanthology.org/2026.findings-eacl.227/)**Fatema Siddika, Md Anwar Hossen, Juan Pablo Munoz et al.
1139. **[Federated LoRA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing ↗](https://aclanthology.org/2026.findings-acl.284/)**Haoran Wang, Xiong Wang, Yuqing Li et al.
1140. **[Feedback Adaptation for Retrieval-Augmented Generation ↗](https://aclanthology.org/2026.findings-acl.1419/)**Jihwan Bang, Seunghan Yang, Kyuhong Shim et al.
1141. **[Feedback Is The Key for Automated Survey Generation ↗](https://aclanthology.org/2026.findings-acl.1904/)**Tianyi Xu, Zhe Zhao, Tianshuo Wei et al.
1142. **[Feedback to Reasoning: LLM-Assisted Molecular Optimization with Domain Feedback and Historical Reasoning ↗](https://aclanthology.org/2026.findings-acl.619/)**Wenhan Gao, Xiran Fan, Chin-Chia Michael Yeh et al.
1143. **[FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition ↗](https://aclanthology.org/2026.findings-eacl.121/)**Jonas Golde, Patrick Haller, Alan Akbik
1144. **[Fico: Evaluating Vision-Language Models under Visual Fidelity and Compression at Scale ↗](https://aclanthology.org/2026.findings-acl.1758/)**Jianhong Tu, Nicholas Crispino, Kyle Montgomery et al.
1145. **[FigSIM: A Dataset for Fine-grained Suicide Severity and Figurative Language in Suicide Memes ↗](https://aclanthology.org/2026.findings-acl.1827/)**Liuliu Chen, Elise Carrotte, Brian E. Chapman et al.
1146. **[Filling in the Mechanisms: How do LMs Learn Filler-Gap Dependencies under Developmental Constraints? ↗](https://aclanthology.org/2026.findings-acl.1737/)**Atrey Desai, Sathvik Nair
1147. **[Fin-STAR: Structure-as-Semantics to Resolve Implicitness in Financial Retrieval ↗](https://aclanthology.org/2026.findings-acl.2151/)**Yu Zou, Yan Chen, Lida He et al.
1148. **[FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis ↗](https://aclanthology.org/2026.findings-acl.187/)**Shouqing Yang, Qi Zhang, Yuhang Yang et al.
1149. **[FinMaster: A Holistic Benchmark for Full-Pipeline Financial Management with Large Language Models ↗](https://aclanthology.org/2026.findings-acl.385/)**Junzhe Jiang, Chang Yang, Aixin Cui et al.
1150. **[FinToolSyn: A forward synthesis Framework for Financial Tool-Use Dialogue Data with Dynamic Tool Retrieval ↗](https://aclanthology.org/2026.findings-acl.746/)**Caishuang Huang, Yang Qiao, Rongyu Zhang et al.
1151. **[Finding RELIEF: Shaping Reasoning Behavior without Reasoning Supervision via Belief Engineering ↗](https://aclanthology.org/2026.findings-acl.218/)**Chak Tou Leong, Dingwei Chen, Heming Xia et al.
1152. **[Fine-Grained Data Ordering Improves Fine-Tuning for Large Language Models ↗](https://aclanthology.org/2026.findings-acl.1021/)**Xiaomeng Hu, Yixuan Tang, Haoze Li et al.
1153. **[Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs ↗](https://aclanthology.org/2026.findings-acl.1907/)**Yehonatan Peisakhovsky, Zorik Gekhman, Yosi Mass et al.
1154. **[Fine-tuning with Hierarchical Prompting for Robust Propaganda Classification Across Annotation Schemas ↗](https://aclanthology.org/2026.findings-acl.139/)**Lukas Stähelin, Veronika Solopova, Max Upravitelev et al.
1155. **[FineState-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting ↗](https://aclanthology.org/2026.findings-acl.2136/)**Fengxian Ji, Jingpu Yang, Zirui Song et al.
1156. **[Fixing Semantic Blind Spots in Anchor Tokens of dMLLMs ↗](https://aclanthology.org/2026.findings-acl.966/)**Ruixuan Xu, Jiexi Xu, Qiyan Zhao et al.
1157. **[FlashMem: Distilling Intrinsic Latent Memory via Computation Reuse ↗](https://aclanthology.org/2026.findings-acl.230/)**Yubo Hou, Zhisheng Chen, Tao Wan et al.
1158. **[FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow ↗](https://aclanthology.org/2026.findings-acl.1050/)**Bihao Zhan, Zongsheng Cao, Jie Zhou et al.
1159. **[Follow the Path: Reasoning over Knowledge Graph Paths to Improve Large Language Model Factuality ↗](https://aclanthology.org/2026.findings-acl.561/)**Mike Zhang, Johannes Bjerva, Russa Biswas
1160. **[Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs ↗](https://aclanthology.org/2026.findings-acl.1413/)**Xiaozhe Li, Xinyu Fang, Shengyuan Ding et al.
1161. **[Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format ↗](https://aclanthology.org/2026.findings-acl.1124/)**Dingzirui Wang, Xuanliang Zhang, Rongyu Cao et al.
1162. **[FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning ↗](https://aclanthology.org/2026.findings-acl.1580/)**Xiao Li, Bolin Zhu, Kaiwen Shi et al.
1163. **[Frame of Reference: Addressing the Challenges of Common Ground Representation in Situational Dialogs ↗](https://aclanthology.org/2026.findings-acl.1645/)**Biswesh Mohapatra, Théo Charlot, Giovanni Duca et al.
1164. **[FrameNet-Cultures: A Benchmark for Evaluating LLMs via Cross-Cultural Frame Semantics ↗](https://aclanthology.org/2026.findings-acl.491/)**Neda Jamshidi, Anders Søgaard, Monica Bianchini
1165. **[FreeChunker: A Cross-Granularity Chunking Framework ↗](https://aclanthology.org/2026.findings-acl.730/)**Zhang Wenxuan, Yuan-Hao Jiang, Yang Cao et al.
1166. **[FreezeEmpath: Efficient Training for Empathetic Spoken Chatbots with Frozen LLMs ↗](https://aclanthology.org/2026.findings-acl.846/)**Yun Hong, Yan Zhou, Yang Feng
1167. **[From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models ↗](https://aclanthology.org/2026.findings-acl.640/)**Chejian Xu, Wei Ping, Peng Xu et al.
1168. **[From Atomic to Complex tasks: Cross-Tasking Improves Zero-Shot Argument Generation and Retrieval ↗](https://aclanthology.org/2026.findings-acl.1246/)**Lynda Tamine, Ahmed Rayane Kebir, Merveille Dona Codjo et al.
1169. **[From Attenuation to Attention: Variational Information Flow Manipulation for Fine-Grained Visual Perception ↗](https://aclanthology.org/2026.findings-acl.927/)**Jilong Zhu, Yang Feng
1170. **[From Bytes to Subwords: Challenges of Input Representations in NLP ↗](https://aclanthology.org/2026.findings-acl.530/)**Rob van der Goot
1171. **[From Coarse to Fine: A Multi-Granularity Multimodal Framework for Teacher Sentiment Analysis ↗](https://aclanthology.org/2026.findings-acl.431/)**Zhiyi Duan, Xiangren Wang, Jiangshan Guan et al.
1172. **[From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks ↗](https://aclanthology.org/2026.findings-acl.134/)**Qingyu Ren, Tianjun Pan, Xingzhou Chen et al.
1173. **[From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents ↗](https://aclanthology.org/2026.findings-acl.77/)**Haoran Tan, Zeyu Zhang, Chen Ma et al.
1174. **[From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQA ↗](https://aclanthology.org/2026.findings-acl.1877/)**Jing Zhang, Lianghong Guo, Yanlin Wang et al.
1175. **[From Documents to Segments: A Contextual Reformulation for Topic Assignment ↗](https://aclanthology.org/2026.findings-acl.1278/)**Hoonsang Yoon, Takyoung Kim, Wonkee Lee et al.
1176. **[From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning ↗](https://aclanthology.org/2026.findings-acl.1424/)**Xiaoyu Xu, Minxin Du, Zitong LI et al.
1177. **[From Experience to Skill: Multi-Agent Generative Engine Optimization via Reusable Strategy Learning ↗](https://aclanthology.org/2026.findings-acl.2149/)**Beining Wu, Fuyou Mao, Jiong Lin et al.
1178. **[From Fake to Real: Mitigating Out-of-Distribution Bias in In-Context Learning via Feedback Supervision from Large Language Models ↗](https://aclanthology.org/2026.findings-acl.747/)**Rui Song, Yingji Li, Jian Li et al.
1179. **[From Fallback to Frontline: When Can LLMs be Superior Annotators of Human Perspectives? ↗](https://aclanthology.org/2026.findings-acl.2124/)**Hasan Amin, Harry Yizhou Tian, Xiaoni Duan et al.
1180. **[From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations ↗](https://aclanthology.org/2026.findings-acl.2108/)**Pulkit Bansal, Raghvendra Kumar, Shakti Singh et al.
1181. **[From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision–Language Models ↗](https://aclanthology.org/2026.findings-acl.1802/)**Qidong Wang, Junjie Hu, Ming Jiang
1182. **[From Heard to Lived Opinions: Simulating Opinion Dynamics with Grounded LLM Agents in Economic Environments ↗](https://aclanthology.org/2026.findings-acl.580/)**Ryuji Hashimoto, Masahiro Kaneko, Ryosuke Takata et al.
1183. **[From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation ↗](https://aclanthology.org/2026.findings-acl.193/)**Minh Duc Bui, Xenia Heilmann, Mattia Cerrato et al.
1184. **[From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation ↗](https://aclanthology.org/2026.findings-acl.356/)**Peng Chuang, Wei Zhang, Renshuai Tao et al.
1185. **[From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning ↗](https://aclanthology.org/2026.findings-acl.266/)**Guo Tang, Ke Cheng, Huiming Fan et al.
1186. **[From Implicit to Explicit: Token-Efficient Logical Supervision for Mathematical Reasoning in LLMs ↗](https://aclanthology.org/2026.findings-acl.1420/)**Shaojie Wang, Liang Zhang
1187. **[From Individual Excellence to Collective Sustainability: Seeking Strategic Equilibrium in Proactive Multi-Agent Teams ↗](https://aclanthology.org/2026.findings-acl.1920/)**Tong Zhang, Yang Wu, Yufei Shi et al.
1188. **[From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language Models ↗](https://aclanthology.org/2026.findings-acl.1380/)**Youmi Ma, Naoaki Okazaki
1189. **[From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation ↗](https://aclanthology.org/2026.findings-acl.1195/)**Pujun Zheng, Jiacheng Yao, Jinquan Zheng et al.
1190. **[From Local Perspective to Global Reasoning: A Neuro-Symbolic Framework for Zero-Shot Relation Extraction ↗](https://aclanthology.org/2026.findings-acl.1492/)**Kailun Lyu, Fu Zhang, Zehan Li et al.
1191. **[From Mimesis to Metamorphosis: Evolving VLM Judges via In-Context Comparing and Knowledge Internalization ↗](https://aclanthology.org/2026.findings-acl.631/)**Juntuo Wang, Yuming Qiao, Yifan Yang et al.
1192. **[From Numbers to Narratives: Efficient Language Model-Based Detection for Safety-Critical Minority Classes ↗](https://aclanthology.org/2026.findings-eacl.258/)**Ahatsham Hayat, Hunter Tridle, Mohammad Rashedul Hasan
1193. **[From Outcome to Process: Optimizing MoE Load Balancing with MCTS ↗](https://aclanthology.org/2026.findings-acl.1440/)**Wenjun Ke, Hengyuan Xu, Ziyu Shang et al.
1194. **[From Passive Metric to Active Signal: The Evolving Role of Uncertainty Quantification in Large Language Models ↗](https://aclanthology.org/2026.findings-acl.2064/)**Jiaxin Zhang, Wendi Cui, Zhuohang Li et al.
1195. **[From Personal to Collective: On the Role of Local and Global Knowledge in LLM Personalization ↗](https://aclanthology.org/2026.findings-acl.1478/)**Zehong Wang, Junlin Wu, Zhaoxuan Tan et al.
1196. **[From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent ↗](https://aclanthology.org/2026.findings-acl.1087/)**Mingyu Huang, Weiqing Min, Ying Jin et al.
1197. **[From Pseudo-Balancing to True Specialization: Memory-Aware Routing for Mixture-of-Experts ↗](https://aclanthology.org/2026.findings-acl.857/)**Peixuan Hou, Yunbo Hou, Bin Chen et al.
1198. **[From Query to Logic: Ontology-Driven Multi-Hop Reasoning in LLMs ↗](https://aclanthology.org/2026.findings-acl.687/)**Haonan Bian, Yutao Qi, Rui Yang et al.
1199. **[From Scaffolding to Assimilation: Progressive Structural Internalization for Format-Constrained Creative Text Generation ↗](https://aclanthology.org/2026.findings-acl.1913/)**Wenhao Li, Yuwei Yang, Xiaoqing Wu et al.
1200. **[From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG ↗](https://aclanthology.org/2026.findings-acl.509/)**Guanhua Chen, Chuyue Huang, Yutong Yao et al.

[← prev](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/11/) [1](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/) … [10](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/10/) [11](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/11/) **12** [13](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/13/) … [20](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/20/) … [26](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/26/) [next →](https://md.research.elamur.ai/free/en/venues/findings/2026/papers/page/13/)

- [← back to](https://md.research.elamur.ai/free/en/venues/findings/2026/) — Findings of the Association for Computational Linguistics 2026