Wayne Xin Zhao

ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models EMNLP 2025 YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering ACL 2025 KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph ACL 2025 LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation ACL 2025 Masks Can be Learned as an Alternative to Experts ACL 2025 Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking ACL 2025 Socratic Style Chain-of-Thoughts Help LLMs to be a Better Reasoner ACL 2025 CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability EMNLP 2025 Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework EMNLP 2025 ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework EMNLP 2025 On Domain-Adaptive Post-Training for Multimodal Large Language Models EMNLP 2025 Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models EMNLP 2025 Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis EMNLP 2025 What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning COLING 2025 RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement NAACL 2025 Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025 DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025 SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis EMNLP 2025 Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation COLING 2025 Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning EMNLP 2025 MMATH: A Multilingual Benchmark for Mathematical Reasoning EMNLP 2025 ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting COLING 2024 Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024 BASES: Large-scale Web Search User Simulation with Large Language Model based Agents EMNLP 2024 Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models ECCV 2024 Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024 Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector EMNLP 2024 REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024 Exploring Context Window of Large Language Models via Decomposed Positional Vectors NIPS 2024 JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models NIPS 2024 Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024 DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024 Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024 AuriSRec: Adversarial User Intention Learning in Sequential Recommendation EMNLP 2024 BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 2024 Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024 MVP: Multi-task Supervised Pre-training for Natural Language Generation ACL 2023 PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction AAAI 2023 Continuous Trajectory Generation Based on Two-Stage GAN AAAI 2023 Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023 TOME: A Two-stage Approach for Model-based Retrieval ACL 2023 Learning to Imagine: Visually-Augmented Natural Language Generation ACL 2023 Visually-augmented pretrained language models for NLP tasks without images ACL 2023 The Web Can Be Your Oyster for Improving Language Models ACL 2023 Zero-shot Visual Question Answering with Language Model Feedback ACL 2023 Diffusion Models for Non-autoregressive Text Generation: A Survey IJCAI 2023 A Survey of Vision-Language Pre-Trained Models IJCAI 2022 ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation EMNLP 2022 TextBox 2.0: A Text Generation Library with Pre-trained Language Models EMNLP 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 Context-Tuning: Learning Contextualized Prompts for Natural Language Generation COLING 2022 Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models COLING 2022 A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions IJCAI 2021 Pretrained Language Model for Text Generation: A Survey IJCAI 2021 Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021 RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking EMNLP 2021 RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering NAACL 2021 PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval IJCNLP 2021 Dual Sparse Attention Network For Session-based Recommendation AAAI 2021 Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models IJCNLP 2021 PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval ACL 2021 Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models ACL 2021 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021 TextBox: A Unified, Modularized, and Extensible Framework for Text Generation ACL 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021 A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base EMNLP 2021 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System IJCNLP 2021 TextBox: A Unified, Modularized, and Extensible Framework for Text Generation IJCNLP 2021 Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators IJCNLP 2021 Towards Topic-Guided Conversational Recommender System COLING 2020 A Neural Citation Count Prediction Model based on Peer Review Text EMNLP 2019 Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network EMNLP 2019 Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding ACL 2019 Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network IJCNLP 2019 A Neural Citation Count Prediction Model based on Peer Review Text IJCNLP 2019 Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network ACL 2018 hyperdoc2vec: Distributed Representations of Hypertext Documents ACL 2018 A Correlated Topic Model Using Word Embeddings IJCAI 2017 Bayesian Probabilistic Multi-Topic Matrix Factorization for Rating Prediction IJCAI 2016 Knowledge Sharing via Social Login: Exploiting Microblogging Service for Warming up Social Question Answering Websites COLING 2014 Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs EMNLP 2013 Joint Learning for Coreference Resolution with Markov Logic EMNLP 2012 Joint Learning for Coreference Resolution with Markov Logic CONLL 2012 Topical Keyphrase Extraction from Twitter ACL 2011