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ACL 2026

2,650 papers

Common to Whom? Regional Cultural Commonsense and LLM Bias in India

Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno, Renata Dividino, Jad Kabbara

G-Cap: A Game Character Caption Generator

Yang Yang, Feng Hu, Haiming Zhang, Xu Cheng, Gui Zheng

Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs

Xuyuan Liu, Shengyu Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao

Who Wrote This Line? Evaluating the Detection of LLM-Generated Classical Chinese Poetry

Jiang Li, Tian Lan, Shanshan Wang, Zdongxing, Dianqing Lin

Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models

Yu Wang, Leyi Lao, Langchu Huang, Gabriel Skantze, Yang Xu

Reasoning Structure Matters for Safety Alignment of Reasoning Models

Yeonjun In, Wonjoong Kim, Sangwu Park, Chanyoung Park

MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs

Xiangyu Zhao, Wanghan Xu, Bo Liu, Yuhao Zhou, Fenghua Ling

CEDAR: A Chinese Evaluation Dataset for Computational Argumentation

Tian Lan, Jiang Li, Rong Yan, Feilong Bao, Weihua Wang

Miner: Mining Intrinsic Mastery for Data-Efficient RL in Large Reasoning Models

Shuyang Jiang, Yuhao Wang, Ya Zhang, Yanfeng Wang, Yu Wang

BaseCal: Unsupervised Confidence Calibration via Base Model Signals

Hexiang Tan, Wanli Yang, Junwei Zhang, Xin Chen, Rui Tang

Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation

Jiaying Wu, Zihang Fu, Haonan Wang, Fanxiao Li, Jiafeng Guo

MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools

Wenhao Wang, Peizhi Niu, Zhao Xu, Zhaoyu Chen, Jian Du

AgentOCR: Reimagining Agent History via Optical Self-Compression

Lang Feng, Fuchao Yang, Feng Chen, Xin Cheng, Haiyang Xu

GenProve: Learning to Generate Text with Fine-Grained Provenance

Jingxuan Wei, Xingyue Wang, Yanghaoyu Liao, Jie Dong, Yuchen Liu

PII-Bench: Evaluating Query-Aware Privacy Protection Systems

Hao Shen, Zhouhong Gu, Haokai Hong, Weili Han, Hongfeng Chai

Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models

Xin Cheng, Wangding Zeng, Damai Dai, Qinyu Chen, Bingxuan Wang

Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning

Xuchen Li, Xuzhao Li, Jiahui Gao, Renjie Pi, Shiyu Hu

Enhancing Lexical Relation Mining with Structured Sememe Knowledge

Hansi Wang, Qiliang Liang, Yue Wang, Yang Liu

Uncovering Temporal Framing in the News

Tarek Mahmoud, Veronika Solopova, Premtim Sahitaj, Ariana Sahitaj, Max Upravitelev

MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration

Yakun Zhu, Yutong Huang, Shengqian Qin, Zhongzhen Huang, Shaoting Zhang

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis

Zehua Pei, Hui-Ling Zhen, Lancheng Zou, Xianzhi Yu, Wulong Liu

Interpretable Safety Alignment via SAE-Constructed Low-Rank Subspace Adaptation

Dianyun Wang, Qingsen Ma, Yuhu Shang, Zhifeng Lu, Zhenbo Xu

Instruction Data Selection via Answer Divergence

Bo Li, Mingda Wang, Shikun Zhang, Wei Ye

Multi-Granularity Semantic Revision for Large Language Model Distillation

Xiaoyu Liu, Yun Zhang, Wei Li, Simiao Li, Xudong Huang

Timely Machine: Awareness of Time Makes Test-Time Scaling Agentic

Yichuan Ma, Linyang Li, Yongkang Chen, Peiji Li, Xiaozhe Li

Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models

Yang Liu, Hongming Li, Melissa Xiaohui Qin, Chao Huang, Qiankun Liu

AFT-Tab: Adversarial Fine-Tuning for Tabular Data Synthesis with Long Text Columns

Yuhao Zhang, Liang Yan, Shaoming Duan, Xinyu Zha, Jinhang Su

Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion

Chen Zhang, Jiuheng Lin, Zhiyuan Liao, Yansong Feng

G2RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance

Yongxin Guo, Wenbo Deng, Zhenglin Cheng, Xiaoying Tang

Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation

Yanzhi Tian, Cunxiang Wang, Zeming Liu, Heyan Huang, Wenbo Yu

Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency

Haoming Xu, Ningyuan Zhao, Yunzhi Yao, Weihong Xu, Hongru Wang

REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control

Chuyi Kong, Wei Gao, Jing Ma, Hongzhan Lin, Yuxi Sun

CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation

Sizhe Wang, Zhengren Wang, Dongsheng Ma, Yongan Yu, Rui Ling

Thermometer of Thoughts: Enhancing LLM’s Exploration via Attention Temperature Modulation

Zhiyuan Yu, Shijian Xiao, Cam-Tu Nguyen, Zhangyue Yin, Lekai Xing

Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with Constraints

Zhenyun Yin, Shujie Wang, Xuhong Wang, Xingjun Ma, Yingchun Wang

EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems

Zhengyi Zhao, Shubo Zhang, Yiming Du, Bin Liang, Baojun wang

Between a Rock and a Hard Place: The Tension Between Ethical Reasoning and Safety Alignment in LLMs

Shei Pern Chua, Zhen Leng Thai, Kai Jun Teh, Xiao Li, Qibing Ren

Retrieval as Generation: A Unified Framework with Self-Triggered Information Planning

Bo Li, Mingda Wang, Gexiang Fang, Shikun Zhang, Wei Ye

Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training

Yifan Yang, Bing Han, Hui Wang, Wei Wang, Ziyang Ma

Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation

Zhengyi Zhao, Shubo Zhang, Zezhong Wang, Yuxi Zhang, Huimin Wang

Stable Language Guidance for Vision–Language–Action Models

Zhihao Zhan, Yuhao Chen, Jiaying Zhou, Qinhan Lyu, Hao Liu

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation

Dongqi Liu, Hang Ding, Qiming Feng, Xurong Xie, Zhucun Xue

Adam’s Law: Textual Frequency Law on Large Language Models

Hongyuan Lu, Zixuan Li, Zefan Zhang, Bowen Cao, Wai Lam

Looking at Radiology Report Generation through a Causal Lens: A Survey

Satyam Kumar, Kaustubh Shivshankar Shejole, Pushpak Bhattacharyya

IMPACT: Importance-Aware Activation Space Reconstruction

Md Mokarram Chowdhury, Daniel Agyei Asante, Ernie Chang, Yang Li

Can We Predict Before Executing Machine Learning Agents?

Jingsheng Zheng, Jintian Zhang, Yujie Luo, Yuren Mao, Yunjun Gao

Dynamic Emotion and Personality Profiling for Multimodal Deception Detection

Li Zheng, Yanyi Luo, Hao Fei, Yuzhe Ding, Yujie Huang

DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection

Tianle Liu, Zhiliang Tian, Zhen Huang, Tianlun Liu, Jingyuan Huang

From ID to LLM: Rethinking Representation Learning for Recommendation

Song-Li Wu, Zhaocheng Du, Weinan Gan, Jingyi Wang, Xianquan Wang

UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities

Woongyeong Yeo, Kangsan Kim, Soyeong Jeong, Jinheon Baek, Sung Ju Hwang

Native Hybrid Attention for Efficient Sequence Modeling

Jusen Du, Jiaxi Hu, Zhang Tao, Weigao Sun, Yu Cheng

Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact Correction

Payel Santra, Lavisha Sharma, Madhusudan Ghosh, Partha Basuchowdhuri

SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation

Shuo Yang, Zheyu Zhang, Bardh Prenkaj, Gjergji Kasneci

Open Your Model’s Eyes: Video and Context-Aware Multimodal Backchannel Prediction

Min-Jae Kim, Jun-Yeong Moon, Mujeen Sung, Gyeong-Moon Park

LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models

Minh Chu Xuan, Tien-Phat Nguyen, Linh Ngo Van, Dinh Viet Sang, Nguyen Thi Ngoc Diep

Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy

Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Lizhe Zhang

Debiased Orthogonal Boundary-Driven Efficient Noise Mitigation

Hao Li, Jiayang Gu, Jingkuan Song, An Zhang, Lianli Gao

CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment

Xue Jiang, Yihong Dong, Mengyang Liu, Deng Hongyi, Tian Wang

A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage

Congmin Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang

Long Context Modeling with Ranked Memory-Augmented Retrieval

Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim

Chunks as Arms: Multi-Armed Bandit-Guided Sampling for Long-Context LLM Preference Optimization

Shaohua Duan, Pengcheng Huang, Xinze Li, Zhenghao Liu, Xiaoyuan Yi

Mitigating Context Interference for Reliable and Efficient Search Agents

Boyang Xue, Bin Wu, Shuofei Qiao, Sheng wang, Rui Wang

Make Mechanistic Interpretability Auditable: A Call to Develop Guidelines via Continuous Collaborative Reviewing

Michael Lan, Narmeen Fatimah Oozeer, Chaithanya Bandi, Philip Quirke, Austin Meek

OASIS: Online Sample Selection for Continual Instruction Tuning

Minjae Lee, Minhyuk Seo, Tingyu Qu, Tinne Tuytelaars, Jonghyun Choi

Inferring Events from Time Series using Language Models

Mingtian Tan, Mike A Merrill, Zachary Gottesman, Tim Althoff, David Evans

TensorLens: End-to-End Transformer Analysis via High-Order Attention Tensors

Ido Andrew Atad, Itamar Zimerman, Shahar Katz, Lior Wolf

Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models

Ruixuan Deng, Xiaoyang Hu, Miles Gilberti, Shane Storks, Aman Taxali

Multi-component Causal Tracing in Large Language Models

Zirui Yan, Dennis Wei, Dmitriy A Katz, Prasanna Sattigeri, Ali Tajer

BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination

Abdelrahman Abdallah, Mohammed Ali, Bhawna Piryani, Adam Jatowt

COMPASS: Enhancing Agent Long-Horizon Reasoning with Evolving Context

Guangya Wan, Mingyang Ling, Xiaoqi Ren, Rujun Han, Sheng Li

KG-MuLQA: A Framework for KG-based Multi-Level QA Extraction and Long-Context LLM Evaluation

Nikita Tatarinov, Vidhyakshaya Kannan, Haricharana Srinivasa, Arnav Raj, Harpreet Singh Anand