Yeyun Gong

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training ACL 2026 Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions ACL 2026 Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability ACL 2026 Too Long, Do Re-weighting for Efficient LLM Reasoning Compression ACL 2026 How Does Alignment Enhance LLMs’ Multilingual Capabilities? A Language Neurons Perspective AAAI 2026 Enhancing Large Language Model Performance with Gradient-Based Parameter Selection AAAI 2025 Adapting LLM Agents with Universal Communication Feedback NAACL 2025 Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL 2025 Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025 Process-based Self-Rewarding Language Models ACL 2025 Generative Prompt Internalization NAACL 2025 Optimizing Large Language Model Training Using FP4 Quantization ICML 2025 Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling ICML 2025 Automated Proof Generation for Rust Code via Self-Evolution ICLR 2025 Integrative Decoding: Improving Factuality via Implicit Self-consistency ICLR 2025 Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation ICLR 2025 Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning AAAI 2025 Task Oriented In-Domain Data Augmentation EMNLP 2024 AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators NAACL 2024 Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models NAACL 2024 Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph ICLR 2024 APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning COLING 2024 Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval COLING 2024 Not All Tokens Are What You Need for Pretraining NIPS 2024 PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization COLING 2024 CMMLU: Measuring massive multitask language understanding in Chinese ACL 2024 Competition-Level Problems are Effective LLM Evaluators ACL 2024 CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing ICLR 2024 ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving ICLR 2024 Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models NAACL 2024 Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models ICML 2023 AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation NIPS 2023 Query Rewriting in Retrieval-Augmented Large Language Models EMNLP 2023 Noisy Pair Corrector for Dense Retrieval EMNLP 2023 Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy EMNLP 2023 Allies: Prompting Large Language Model with Beam Search EMNLP 2023 Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise ICML 2023 CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion EMNLP 2023 On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models NIPS 2023 Joint Generator-Ranker Learning for Natural Language Generation ACL 2023 P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training EMNLP 2022 DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation ACL 2022 Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations ACL 2022 Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning EMNLP 2022 CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search EMNLP 2022 Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis EMNLP 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation EMNLP 2022 Adversarial Retriever-Ranker for Dense Text Retrieval ICLR 2022 CULG: Commercial Universal Language Generation NAACL 2022 BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining ICML 2021 GLGE: A New General Language Generation Evaluation Benchmark ACL 2021 Mask Attention Networks: Rethinking and Strengthen Transformer NAACL 2021 EL-Attention: Memory Efficient Lossless Attention for Generation ICML 2021 GLGE: A New General Language Generation Evaluation Benchmark IJCNLP 2021 ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation IJCNLP 2021 FastSeq: Make Sequence Generation Faster IJCNLP 2021 Poolingformer: Long Document Modeling with Pooling Attention ICML 2021 KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning EMNLP 2021 FastSeq: Make Sequence Generation Faster ACL 2021 ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation ACL 2021 ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training EMNLP 2020 Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation EMNLP 2020 XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation EMNLP 2020 Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space EMNLP 2020 Uncertainty-Aware Label Refinement for Sequence Labeling EMNLP 2020 Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing COLING 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020 Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing AAAI 2020 An Enhanced Knowledge Injection Model for Commonsense Generation COLING 2020 RikiNet: Reading Wikipedia Pages for Natural Question Answering ACL 2020 Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning AAAI 2020 Joint Type Inference on Entities and Relations via Graph Convolutional Networks ACL 2019 Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching IJCNLP 2019 Weakly Supervised Multi-task Learning for Semantic Parsing IJCAI 2019 Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching EMNLP 2019 Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network IJCAI 2017 Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter EMNLP 2016 Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016 Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags EMNLP 2015 Time-aware Personalized Hashtag Recommendation on Social Media COLING 2014 A Generative Model for Identifying Target Companies of Microblogs COLING 2014 Detecting Spammers in Community Question Answering IJCNLP 2013