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ACL 2026

2,650 papers

PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations

Yuhe Wu, Guangyu Wang, Yuran Chen, Jiatong Zhang, Yutong Zhang

CloneMem: Benchmarking Long-Term Memory for AI Clones

Sen Hu, Zhiyu Zhang, Yuxiang Wei, Xueran Han, Zhenheng Tang

Beyond Static Artifacts: An Evolutionary Framework for Synthetic Claim Generation

Yeqing Teng, Jiasheng Si, Shuxia Lin, Linhai Zhang, Weiyu Zhang

PEARL: Self-Evolving Assistant for Time Management with Reinforcement Learning

Bingxuan Li, Jeonghwan Kim, Cheng Qian, Xiusi Chen, Eitan Anzenberg

Ranking Reasoning LLMs under Test-Time Scaling

Mohsen Hariri, Michael Hinczewski, Jing Ma, Vipin Chaudhary

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generation

Caiqi Zhang, Xiaochen Zhu, Chengzu Li, Nigel Collier, Andreas Vlachos

MARS2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation

Pengfei Li, Shijie Wang, Fangyuan Li, Yikun Fu, Kaifeng Liu

Tailored Primitive Initialization is the Secret Key to Reinforcement Learning

Yihang Yao, Guangtao Zeng, Raina Wu, Yang Zhang, Ding Zhao

PIArena: A Platform for Prompt Injection Evaluation

Runpeng Geng, Chenlong Yin, Yanting Wang, Ying Chen, Jinyuan Jia

Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models

Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran, Siddhartha Jain, Wasi Uddin Ahmad

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs

Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, Dongwon Jung, Hadi Askari

SSSD: Simply-Scalable Speculative Decoding

Michele Marzollo, Jiawei Zhuang, Niklas Roemer, Niklas Zwingenberger, Lorenz K Muller

CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data

Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, Rafael Mosquera, Sara Hincapié Monsalve

Neuron-Aware Active Few-Shot Learning for LLMs

Zhuowei Chen, Liwei Chen, Christian Schunn, Raquel Coelho, Xiang Lorraine Li

Behavior Knowledge Merge in Reinforced Agentic Models

Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, Zheyuan Liu, Shenglong Yao

The GDN-CC Dataset: Automatic Corpus Clarification for AI-enhanced Democratic Citizen Consultations

Pierre-Antoine Lequeu, Léo Labat, Laurène Cave, Gaël Lejeune, François Yvon

SRA: Span Representation Alignment for Large Language Model Distillation

Quoc Phong Dao, Hoang Son Nguyen, Pham Khanh Chi, Tung Nguyen, Linh Ngo Van

Discourse Realization of Generics in Human and LLM-generated Texts

Søren Kirkegaard Fomsgaard, Martial Pastor, Gaël Dias, Nelleke Oostdijk

Multimodal Large Language Models for Multi-Subject In-Context Image Generation

Yucheng Zhou, Dubing Chen, Huan Zheng, Jianbing Shen

A Multi-Agent Framework for High-Interaction Terminal Simulation

Kai Wei, Yuwen Cui, Kehan Shen, Hua Wei, Guangjing Wang

Schoenfeld’s Anatomy of Mathematical Reasoning by Language Models

Ming Li, Chenrui Fan, Yize Cheng, Soheil Feizi, Tianyi Zhou

SimPBL: A Multi-Agent Framework for Project-Based Learning

Daniel Zhang-li, Joy Jia Yin Lim, Binglin Liu, Shangqing Tu, Zijun Yao

Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language Models

Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann, Lisa Beinborn

TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation

Quoc Phong Dao, Hoang Son Nguyen, Pham Khanh Chi, Linh Ngo Van, Nguyen Thi Ngoc Diep

MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation

Pham Khanh Chi, Quoc Phong Dao, Thuat Nguyen, Linh Ngo Van, Trung Le

MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics

Yuxing Lu, Xukai Zhao, J. Ben Tamo, Micky C. Nnamdi, Rui Peng

How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting

Parker Seegmiller, Joseph Gatto, Sarah E. Greer, Ganza Belise Isingizwe, Rohan Ray

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future

Sihong Wu, Owen Jiang, Yilun Zhao, Tiansheng Hu, Yiling Ma

Diagnosing Hidden Instabilities in Model Editing via Uncertainty Quantification

Zihan Gu, Tianyi Zhang, Xinyan Zhang, Zhiyuan Wang, Han Zhang

SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator

Xueyang Zhou, Weidong Wang, Lin Lu, Jiawen Shi, Guiyao Tie

ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs

Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang

Injecting Context via Situation Working Memory for Logical Reasoning with LLMs

Jieun Kim, Seoha Lim, YoungHae Choi, Sung-Bae Cho

Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection

Tianyi Niu, Justin Chen, Genta Indra Winata, Shi-Xiong Zhang, Supriyo Chakraborty

Bayesian Social Deduction with Graph-Informed Language Models

Shahab Rahimirad, Guven Gergerli, Lucia Romero, Angela Qian, Matthew Lyle Olson

Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge

Xin Sun, Di Wu, Sijing Qin, Isao Echizen, Abdallah El Ali

CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID

Fengchunzhang, Qiang Ma, Liuyu Xiang, Jinshan Lai, Tingxuan Huang

RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection

Zhaoheng Huang, Dacheng Wen, Yutao Zhu, Xiaoying Lian, Yushi Liang

On the Proper Treatment of Units in Surprisal Theory

Samuel Kiegeland, Vésteinn Snæbjarnarson, Tim Vieira, Ryan Cotterell

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward

Weiyang Guo, Zesheng Shi, Zeen Zhu, Yuan Zhou, Min Zhang

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router

Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan

EvoSpark: Endogenous Interactive Agent Societies for Unified Long-Horizon Narrative Evolution

Shiyu He, Minchi Kuang, Mengxian Wang, Bin Hu, Tingxiang Gu

Generating then Refining for Reliable Knowledge Base Question Answering

Jianqi Gao, Hang Yu, Jian Cao, Ranran Bu, Jinghua Tang

The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG

Shu Zhou, Jinman Leng, Yufei Song, Xin Wang, Tao Fan

ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents

Zhuofeng Li, Yi Lu, Dongfu Jiang, Haoxiang Zhang, Yuyang Bai

GQLBench: A Large-Scale Cross-Domain, Cross-Dialect Benchmark for NL2GQL

Yanning Su, Yuhang Zhou, Yang Fang, Sen Liu, Guangnan Ye

Stress Testing Factual Consistency Metrics for Long-Document Summarization

Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein

Gated Differentiable Working Memory for Long-Context Language Modeling

Lingrui Mei, Shenghua Liu, Yiwei Wang, Yuyao Ge, Baolong Bi

Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision

Xianda Zheng, Huan Gao, Meng-Fen Chiang, Michael J. Witbrock, Kaiqi Zhao

Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization

Linfeng Du, Ye Yuan, Zichen Zhao, Fuyuan Lyu, Emiliano Penaloza

Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents

Akriti Jain, Anish Mulay, Divyansh Verma, Aishani Pandey, Pritika Ramu

Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics

Ziwen Xu, Chenyan Wu, Hengyu Sun, Haiwen Hong, Mengru Wang

The Prosody of Emojis

Giulio Zhou, Tsz Kin Lam, Alexandra Birch, Barry Haddow

Frankentext: Stitching random text fragments into long-form narratives

Chau Minh Pham, Jenna Russell, Dzung Pham, Mohit Iyyer

WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement

Fangyuan Li, Pengfei Li, Shijie Wang, Junqi Gao, Jianxing Liu

UniVocal: Unified Speech-Singing Code-Switching Synthesis

Yufei Shi, Qian Chen, Wen Wang, Xiangang Li, Zhen-Hua Ling