AAAI 2026

4,920 papers

GlitchCleaner: Lightweight Glitch Tokens Repairing by Lossless Gated LoRA in Large Language Models

Yibo Fan, Jingru Li, Huan Li

SegMem-RAG: Adaptive Memory for Retrieval-Augmented Generation in Open-Ended Knowledge Environments

Xuanbo Fan, Tianqi Zhao, Yi Cheng, Chi Xiu, Jiaxin Guo

MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models

Xiaoran Fan, Zhichao Sun, Tao Ji, Lixing Shen, Tao Gui

What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study

Xiaoran Fan, Zhichao Sun, Yangfan Gao, Jingfei Xiong, Hang Yan

TimeBill: Time-Budgeted Inference for Large Language Models

Qi Fan, An Zou, Yehan Ma

HC2-GNN: Hierarchical Graph Representation Learning for Efficient Text Classification

jiejie fan, Xiaojuan Ban, Zhiyan Zhang, Xi Sun

Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping

Zeying Duan, Youtian Du, Yuanlin Chang, Bowen Lin, Weijia Wu

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency

Yong Du, Yuchen Yan, Fei Tang, Zhengxi Lu, Chang Zong

MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents

Yiming Du, Bingbing Wang, Yang He, Bin Liang, Baojun wang

CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation

Yexing Du, Kaiyuan Liu, Youcheng Pan, Zheng Chu, Bo Yang

Scaling Towards the Information Boundary of Instructions through Data Synthesizing

Li Du, Hanyu Zhao, Yiming Ju, Tengfei Pan

Mnemosyne: Accelerating Multi-Hop Question Answering via Cache Hit Order Fitting

Haizhou Du, Jiujiu Li, Dongyang Li, Luobin Huang, LIsheng Wang

TO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference

Yulin Dou, Jiangming Liu

SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs

Zhongren Dong, Bin Wang, Jing Han, Haotian Guo, Xiaojun Mo

AdaSpec: Adaptive Multilingual Speculative Decoding with Self-Synthesized Language-Aware Training and Vocabulary Simplification

Dinh-Truong Do, Nguyen-Khang Le, Le-Minh Nguyen

W2S-AlignTree: Weak-to-Strong Inference-Time Alignment for Large Language Models via Monte Carlo Tree Search

Zhenyu Ding, Yuhao Wang, Tengyue Xiao, Haoying Wang, Guojun Ma

SkillGen: Learning Domain Skills for In-Context Sequential Decision Making

Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao

Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs

Jérémie Dentan, Davide Buscaldi, Sonia Vanier

CLER: Improving Multimodal Financial Reasoning by Cross-MLLM Error Reflection

Shuangyan Deng, Zhongsheng Wang, Rui Mao, Ciprian Doru Giurcăneanu, Jiamou Liu

Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM

Cui Danxin, Sihang Jiang, Keyi Wang, Zhiyi Duan, Yanghua Xiao

Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification

Chenhao Dang, Jing Ma

Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement

Zhenlong Dai, Zhuoluo Zhao, Hengning Wang, Xiu Tang, Sai Wu

Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning

Yuqin Dai, Shuo Yang, Guoqing Wang, Yong Deng, Zhanwei Zhang

GOMPSNR: Reflourish the Signal-to-Noise Ratio Metric for Audio Generation Tasks

Lingling Dai, Andong Li, Cheng Chi, Yifan Liang, Xiaodong Li

HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection

Fangqi Dai, Xingjian Jiang, Zizhuang Deng

When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity

Shiyao Cui, Xijia Feng, Yingkang Wang, Junxiao Yang, Zhexin Zhang

Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs

Jing Cui, Yufei Han, Jianbin Jiao, Junge Zhang

HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training

Seungho Choi, Sihyun Park, Minsang Kim, Chansol Park, Bongsu Kim

“As Eastern Powers, I Will Veto.”: An Investigation of Nation-Level Bias of Large Language Models in International Relations

Jonghyeon Choi, Yeonjun Choi, Hyun-Chul Kim, Beakcheol Jang

Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations

Jinwei Chi, Ke Wang, Yu Chen, Xuanye Lin, Qiang Xu

Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving

Yao Cheng, Yibo Zhao, Jiapeng Zhu, Yao Liu, Xing Sun

Reasoning with Exploration: An Entropy Perspective

Daixuan Cheng, Shaohan Huang, Xuekai Zhu, Bo Dai, Xin Zhao

From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling

Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xusheng Yang

StoryBox: Collaborative Multi-Agent Simulation for Hybrid Bottom-Up Long-Form Story Generation Using Large Language Models

Zehao Chen, Rong Pan, Haoran Li

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models

Yuefei Chen, Vivek K. Singh, Jing Ma, Ruixiang Tang

DiagramGPT-Llama3:Enabling Editable, High-Fidelity Diagram Generation with Vision Large Language Models

Yongyuan Chen, Minjie Hong, Boxi Wu, Xicheng Han

Schema-Guided Scene-Graph Reasoning Based on Multi-Agent Large Language Model System

Yiye Chen, Harpreet S. Sawhney, Nicholas Gydé, Yanan Jian, Jack Saunders

A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning

Yile Chen, Zeyi Wen, Jian Chen, Jin Huang

Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization

Xueyu Chen, Kaitao Song, Zifan Song, Dongsheng Li, Cairong Zhao

ModalSyncSum: Synchronizing Image and Text for Reliable Summary Generation

Xuanqi Chen, Ziying Rong, Xinfeng Liao, Yiqian Wu, Bowei Zhang

How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding

Xi Chen, Aske Plaat, Niki van Stein

Flora: Effortless Context Construction to Arbitrary Length and Scale

Tianxiang Chen, Zhentao Tan, Xiaofan Bo, Yue Wu, Tao Gong

DEPO: Dual-Efficiency Preference Optimization for LLM Agents

Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu

You Don’t Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures

Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui

Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Significant Gains in Reasoning Efficiency in Large Language Models

Qiguang Chen, Dengyun Peng, JinHao Liu, Huikang Su, Jiannan Guan

DeFuzzRAG: Handling Fuzzy Time Expressions for Temporal Robustness in Retrieval-Augmented Generation

Ling-Chun Chen, Hsi-Wen Chen, Ming-syan Chen

Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment

Lei Chen, Tengteng Cheng, BoYu Gao, Zitao Liu, Weiqi Luo

Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation

Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou

Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective

Haoyang Chen, Richong Zhang, Junfan Chen

AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models

Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia

Skill Path: Unveiling Language Skills from Circuit Graphs

Hang Chen, Xinyu Yang, Jiaying Zhu, Wenya Wang

LiR3AG: A Lightweight Rerank Reasoning Strategy Framework for Retrieval-Augmented Generation

Guo Chen, Junjie Huang, Huaijin Xie, Fei Sun, Tao Jia

Can Editing LLMs Inject Harm?

Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai

PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths

Boyu Chen, Zirui Guo, Zidan Yang, Yuluo Chen, Junze Chen

Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT

Da Chang, Peng Xue, Yu Li, Yongxiang Liu, Pengxiang Xu

Sparse Attention Across Multiple-Context KV Cache

Ziyi Cao, Qingyi Si, Jingbin Zhang, Bingquan Liu

DCTR: Dual-Constraint Subgraph Optimization for Knowledge Graph-based Retrieval-Augmented Generation

Yukun Cao, Zirui Xu, Dongyang Li, Zhihao Guo, Luobin Huang

TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models

Yi Cao, Weijie Shi, Wei-Jie Xu, Yucheng Shen, Yue Cui

On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models

Ding Cao, Yuchen Cai, Yuqing Huang, Xuesong He, Rongxi Guo

Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation

Boxi Cao, Ruotong Pan, Hongyu Lin, Xianpei Han, Le Sun

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking

Yuzheng Cai, Yanzhao Zhang, Dingkun Long, Mingxin Li, Pengjun Xie

RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability

Kaitong Cai, Jusheng Zhang, Yijia Fan, Jing Yang, Keze Wang

Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models

Yixin Bu, Guanyun Zou, Renzhi Wang, Runze Xia, Cunjun Wang

Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy

Andrea Brunello, Luca Geatti, Michele Mignani, Angelo Montanari, Nicola Saccomanno

OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling

Maxime Bouscary, Saurabh Amin

JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation

Zhenyu Bi, Gaurav Srivastava, Yang Li, Swastik Roy, Meng Lu

Steering Pretrained Drafters During Speculative Decoding

Frédéric Berdoz, Peer Rheinboldt, Roger Wattenhofer

Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions

Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser

Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model

Rong Bao, Bo Wang, Xiao Wang, Hongyu Li, Rui Zheng

IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization

Yuzhuo Bai, Shitong Duan, Muhua Huang, Jing Yao, Zhenghao Liu

Identifying and Analyzing Performance-Critical Tokens in Large Language Models

Yu Bai, Heyan Huang, Cesare Spinoso-Di Piano, Sanxing Chen, Marc-Antoine Rondeau

Towards Effective Code-Integrated Reasoning

Fei Bai, Yingqian Min, Beichen Zhang, Zhipeng Chen, Xin Zhao

HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios

Bingsong Bai, Yizhong Geng, Fengping Wang, Cong Wang, Puyuan Guo

Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning

Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran

ViDia2Std: A Parallel Corpus and Methods for Low-Resource Vietnamese Dialect-to-Standard Translation

Khoa Anh Ta, Nguyen Van Dinh, Kiet Van Nguyen

MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes

Siddhant Agarwal, Adya Dhuler, Polly Ruhnke, Melvin Speisman, Md Shad Akhtar

Where Norms and References Collide: Evaluating LLMs on Normative Reasoning

Mitchell Abrams, Kaveh Eskandari Miandoab, Felix Gervits, Vasanth Sarathy, Matthias Scheutz

DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors

Tazeek Bin Abdur Rakib, Ambuj Mehrish, Lay-Ki Soon, Wern Han Lim, Soujanya Poria

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning

Liutao, Xutao Mao, Dixuan Zhang, Yifan Li, LiuHaixin

More than Irrational: Modeling Belief-Biased Agents

Yifan Zhu, Sammie Katt, Samuel Kaski

Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation

Yuxiang Zhou, Jichang Li, Yanhao Zhang, Haonan Lu, Guanbin Li

A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators

Mingming Zhao, Xiaokang Wei, Yuanqi Shao, Kaiwen Zhou, Lin Yang

Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning

Wenchuan Zhang, Jingru Guo, Hengzhe Zhang, Penghao Zhang, Jie Chen

Dynamic Agent Grouping ECBS: Scaling Windowed Multi-Agent Path Finding with Completeness Guarantees

Tiannan Zhang, Rishi Veerapaneni, Shao-Hung Chan, Jiaoyang Li, Maxim Likhachev

RetouchAgent: Towards Interactive and Explainable Image Retouching with MLLM Agents

Shuo Zhang, Xinyu Yang

SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication

Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang

Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?

Qian Zhang, Jinyi Liu, YAN ZHENG, Hebin Liang, Lanjun Wang

VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning

Qian Zhang, Zhuo Sun, Yao Zhang, Zhiwen Yu, Bin Guo

Enhancing PIBT via Multi-Action Operations

Egor Yukhnevich, Anton Andreychuk

WRitEer: A Multi-Objective, Preference-Driven Multi-Agent Framework for Human-Like Advanced Text Generation

Junchuan Yu, Yuyang Sun

MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation

Jingxuan Yu, Ju Jia, Simeng Qin, Xiaojun Jia, Siqi Ma

EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation

Biao Yi, Xueyu Hu, Yurun Chen, Shengyu Zhang, Hongxia Yang

InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration

Zhongyu Yang, Yingfang Yuan, Xuanming Jiang, Baoyi An, Wei Pang

Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning

Wei Yang, Jesse Thomason

Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach

Qingwen Yang, Feiyu Qu, Tiezheng Guo, Yanyi Liu, Yingyou Wen

BAMAS: Structuring Budget-Aware Multi-Agent Systems

Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen

LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules

Cheng Yang, Hui Jin, Xinlei Yu, Zhipeng Wang, Yaoqun Liu

Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS

Bingyu Yan, Xiaoming Zhang, Ziyi Zhou, Chaozhuo Li, Ruilin Zeng

RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram

Yuan Xue, Xiaoyu Lu, Yunfei Bai, Yunan Liu, Hoiyi Ng

HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems

Yihan Xia, Taotao Wang, Shengli Zhang, Zhangyuhua Weng, Bin Cao