AAAI 2025

3,486 papers

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan

WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment

Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme, Daniel Khashabi

Promising Multi-Granularity Linguistic Steganography by Jointing Syntactic and Lexical Manipulations

Chengfu Ou, Lingyun Xiang, Yangfan Liu

Universal Post-Processing Networks for Joint Optimization of Modules in Task-Oriented Dialogue Systems

Atsumoto Ohashi, Ryuichiro Higashinaka

Drop the Beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation

Ziqian Ning, Shuai Wang, Yuepeng Jiang, Jixun Yao, Lei He

GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs

Maizhen Ning, Zihao Zhou, Qiufeng Wang, Xiaowei Huang, Kaizhu Huang

Training on the Benchmark Is Not All You Need

Shiwen Ni, Xiangtao Kong, Chengming Li, Xiping Hu, Ruifeng Xu

NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models

Tuc Van Nguyen, James Michels, Hua Shen, Thai Le

Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution

Abhilash Nandy, Sambaran Bandyopadhyay

Tensorized Attention for Understanding Multi-Object Relationships

Makoto Nakatsuji, Yasuhiro Fujiwara, Atsushi Otsuka, Narichika Nomoto, Yoshihide Sato

Reasoning over Uncertain Text by Generative Large Language Models

Aliakbar Nafar, Kristen Brent Venable, Parisa Kordjamshidi

Evaluating LLM Reasoning in the Operations Research Domain with ORQA

Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa

Can LLMs Obfuscate Code? A Systematic Analysis of Large Language Models into Assembly Code Obfuscation

Seyedreza Mohseni, Seyedali Mohammadi, Deepa Tilwani, Yash Saxena, Gerald Ketu Ndawula

DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer’s Disease

Tingyu Mo, Jacqueline C. K. Lam, Victor O. K. Li, Lawrence Y. L. Cheung

Breaking Barriers: A Paradigm Shift in Technology Accessibility for Individuals with Physical Disabilities

Kshitij Mishra, Manisha Burja, Asif Ekbal

A Compact Model for Mathematics Problem Representations Distilled from BERT

Hao Ming, Xinguo Yu, Xiaotian Cheng, Zhenquan Shen, Xiaopan Lyu

Controlling Equational Reasoning in Large Language Models with Prompt Interventions

Jordan Meadows, Marco Valentino, Andre Freitas

Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers

Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue, Ahmad Rezaei, Yong Zhang

Speech Recognition Meets Large Language Model: Benchmarking, Models, and Exploration

Ziyang Ma, Guanrou Yang, Yifan Yang, Zhifu Gao, Jiaming Wang

Language Model Can Listen While Speaking

Ziyang Ma, Yakun Song, Chenpeng Du, Jian Cong, Zhuo Chen

Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning

Zhiyuan Ma, Zhenya Huang, Jiayu Liu, Minmao Wang, Hongke Zhao

What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning

Yiran Ma, Zui Chen, Tianqiao Liu, Mi Tian, Zhuo Liu

3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding

Xindian Ma, Wenyuan Liu, Peng Zhang, Nan Xu

DialogDraw: Image Generation and Editing System Based on Multi-Turn Dialogue

Shichao Ma, Xinfeng Zhang, Zeng Zhao, Bai Liu, Changjie Fan

Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction

Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao, Anthony Cuturrufo, Vijay S Nori

CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark

Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models

Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou

BeyondGender: A Multifaceted Bilingual Dataset for Practical Sexism Detection

Xuan Luo, Li Yang, Han Zhang, Geng Tu, Qianlong Wang

Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering

Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu

DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval

Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan

Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines

Xinwei Long, Zhiyuan Ma, Ermo Hua, Kaiyan Zhang, Biqing Qi

Multi-View Empowered Structural Graph Wordification for Language Models

Zipeng Liu, Likang Wu, Ming He, Zhong Guan, Hongke Zhao

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition

Zesheng Liu, Qiannan Zhu, Cuiping Li, Hong Chen

Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning

Yonghao Liu, Mengyu Li, Wei Pang, Fausto Giunchiglia, Lan Huang

PAT: Pruning-Aware Tuning for Large Language Models

Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang

Can Large Language Models Derive High-Level Cognition from Low-Level and Fragmented Foundational Information?

Yang Liu, Xiaoping Wang, Kai Lu

Adaptive Draft-Verification for Efficient Large Language Model Decoding

Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan (DK) Xu

Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models

Xiyu Liu, Zhengxiao Liu, Naibin Gu, Zheng Lin, Wanli Ma

VCR: A “Cone of Experience” Driven Synthetic Data Generation Framework for Mathematical Reasoning

Sannyuya Liu, Jintian Feng, Xiaoxuan Shen, Shengyingjie Liu, Qian Wan

Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay

Ruiheng Liu, Jinyu Zhang, Yanqi Song, Yu Zhang, Bailong Yang

Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech

Rui Liu, Shuwei He, Yifan Hu, Haizhou Li

Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts

Jiaqing Liu, Chong Deng, Qinglin Zhang, Shilin Zhou, Qian Chen

Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing

Jianjian Liu, Zhengtao Yu, Ying Li, Yuxin Huang, Shengxiang Gao

Augmenting Math Word Problems via Iterative Question Composing

Haoxiong Liu, Yifan Zhang, Yifan Luo, Andrew C Yao

Prompt Compression with Context-Aware Sentence Encoding for Fast and Improved LLM Inference

Barys Liskavets, Maxim Ushakov, Shuvendu Roy, Mark Klibanov, Ali Etemad

Explore What LLM Does Not Know in Complex Question Answering

Xin lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen

How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning

Di-Nan Lin, Yao Jui-Feng, Kun-Da Wu, Hao Xu, Chen-Hsi Huang

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks

Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu

Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph

Xujian Liang, Zhaoquan Gu

Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis

Qi Lian, Yu Qi, Yueming Wang

Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal

Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su

Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing

Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Richong Zhang

Enhancing Relation Extraction via Supervised Rationale Verification and Feedback

Yongqi Li, xin miao, Shen Zhou, Mayi Xu, Yuyang Ren

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary

Yanhua Li, Xiaocao Ouyang, Chaofan Pan, Jie Zhang, Sen Zhao

Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision

Ximing Li, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao

SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering

Xiaopeng Li, Shasha Li, Shezheng Song, Huijun Liu, Bin Ji

TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning

Xiang Li, Yunshi Lan, Chao Yang

KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits

Xia Li, Wenjing Pan

Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification

Shichen Li, Zhongqing Wang, Zheyu Zhao, Yue Zhang, Peifeng Li

Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework

Linfei Li, Lin Zhang, Zhong Wang, Fengyi Zhang, Zelin Li

LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages

Junchen Li, Qing Yang, Bojian Jiang, Shaolin Zhu, Qingxuan Sun

ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA

Jiaang Li, Quan Wang, Zhongnan Wang, Yongdong Zhang, Zhendong Mao

Enhancing Large Language Model Performance with Gradient-Based Parameter Selection

Haoling Li, Xin Zhang, Xiao Liu, Yeyun Gong, Yifan Wang

BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models

Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models

Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang

CyberPal.AI: Empowering LLMs with Expert-Driven Cybersecurity Instructions

Matan Levi, Yair Allouche, Daniel Ohayon, Anton Puzanov

LAMA-UT: Language Agnostic Multilingual ASR Through Orthography Unification and Language-Specific Transliteration

Sangmin Lee, Woojin Chung, Hong-Goo Kang

Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective

Minh Le, Tien Ngoc Luu, An Nguyen The, Thanh-Thien Le, Trang Nguyen

Multi-Reference Preference Optimization for Large Language Models

Hung Le, Quan Hung Tran, Dung Nguyen, Kien Do, Saloni Mittal

EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion

Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao

nach0-pc: Multi-task Language Model with Molecular Point Cloud Encoder

Maksim Kuznetsov, Airat Valiev, Alex Aliper, Daniil Polykovskiy, Elena Tutubalina

Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding

Dongdong Kuang, Richong Zhang, Zhijie Nie, Junfan Chen, Jaein Kim

ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction

Zixiao Kong, Xianquan Wang, Shuanghong Shen, Keyu Zhu, Huibo Xu

Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition

Eungbeom Kim, Kyogu Lee

Beyond Single Emotion: Multi-label Approach to Conversational Emotion Recognition

Yujin Kang, Yoon-Sik Cho

C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness

Yu Kang, Xianghui Sun, Liangyu Chen, Wei Zou

Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation

Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding

Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li

Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models

Peihai Jiang, Xixiang Lyu, Yige Li, Jing Ma

VERSE: Verification-based Self-Play for Code Instructions

Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses

Dongwei Jiang, Jingyu Zhang, Orion Weller, Nathaniel Weir, Benjamin Van Durme

Importance Weighting Can Help Large Language Models Self-Improve

Chunyang Jiang, Chi-Min Chan, Wei Xue, Qifeng Liu, Yike Guo

SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction

Zhongquan Jian, Yanhao Chen, Jiajian Li, Shaopan Wang, Xiangjian Zeng

Speech Watermarking with Discrete Intermediate Representations

Shengpeng Ji, Ziyue Jiang, Jialong Zuo, Minghui Fang, Yifu Chen

Towards Verifiable Text Generation with Generative Agent

Bin Ji, Huijun Liu, Mingzhe Du, Shasha Li, Xiaodong Liu

Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document

Vijay Jaisankar, Sambaran Bandyopadhyay, Kalp Vyas, Varre Suman Chaitanya, Shwetha Somasundaram

LLM+AL: Bridging Large Language Models and Action Languages for Complex Reasoning About Actions

Adam Ishay, Joohyung Lee

A Video-grounded Dialogue Dataset and Metric for Event-driven Activities

Wiradee Imrattanatrai, Masaki Asada, Kimihiro Hasegawa, Zhi-Qi Cheng, Ken Fukuda

MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula

Sieun Hyeon, Kyudan Jung, Jaehee Won, Nam-Joon Kim, Hyun Gon Ryu

Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning

Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li

Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning

Yiming Huang, Xiao Liu, Yeyun Gong, Zhibin Gou, Yelong Shen

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training

Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen

GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition

Shizhou Huang, Bo Xu, Yang Yu, Changqun Li, Xin Alex Lin

Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst

Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang

Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction

Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao

Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning

Li Huang, Haowen Liu, Qiang Gao, Jiajing Yu, Guisong Liu

Gradient Weight-normalized Low-rank Projection for Efficient LLM Training

Jia-Hong Huang, Yixian Shen, Hongyi Zhu, Stevan Rudinac, Evangelos Kanoulas

Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models

Guang Huang, Yanan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang

RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks

Ziyi Hu, Jun Liu, Zhongzhi Liu, Yuzhong Liu, Zheng Xie