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

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

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

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