← Authors

Yeyun Gong

79 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (110) 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (51) πŸ† Grand Slam πŸ‘₯ Mega-Team (24) πŸ”¬ Deep Specialist (15) πŸ”₯ Unstoppable (7) ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸ’Ž Century Club (78) πŸ—ƒοΈ Keyword Collector (274) ❓ The Questioner

Conferences

EMNLP (21) ACL (12) COLING (8) NAACL (8) ICLR (7) ICML (7) AAAI (5) IJCNLP (5) IJCAI (3) NIPS (3)

Top co-authors

Nan Duan (51) Weizhu Chen (19) Yelong Shen (18) Weizhen Qi (15) Ruofei Zhang (14) Jian Jiao (14) Xiao Liu (13) Daxin Jiang (13) Hang Zhang (12) Yu Yan (12)

Research topics

Understanding (1)

Keywords

large language model (16) text generation (9) contrastive learning (7) pre-trained language model (7) language model (5) question generation (5) attention mechanism (4) dense retrieval (4) chain-of-thought prompting (4) few-shot learning (4) semantic parsing (3) domain adaptation (3) reinforcement learning (3) transfer learning (3) information retrieval (3) question answering (3) sequence generation (3) knowledge distillation (3) zero-shot learning (3) code generation (3)

Papers

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
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning NAACL 2025
Generative Prompt Internalization NAACL 2025
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025
Process-based Self-Rewarding Language Models ACL 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
Adapting LLM Agents with Universal Communication Feedback NAACL 2025
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning AAAI 2025
Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling ICML 2025
Optimizing Large Language Model Training Using FP4 Quantization ICML 2025
Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval COLING 2024
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing ICLR 2024
Task Oriented In-Domain Data Augmentation EMNLP 2024
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models NAACL 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
Not All Tokens Are What You Need for Pretraining NIPS 2024
CMMLU: Measuring massive multitask language understanding in Chinese ACL 2024
Competition-Level Problems are Effective LLM Evaluators ACL 2024
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving ICLR 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
PROM: A Phrase-level Copying Mechanism with Pre-training for Abstractive Summarization COLING 2024
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation NIPS 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
Query Rewriting in Retrieval-Augmented Large Language Models EMNLP 2023
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion EMNLP 2023
Allies: Prompting Large Language Model with Beam Search EMNLP 2023
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy EMNLP 2023
Noisy Pair Corrector for Dense Retrieval EMNLP 2023
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise ICML 2023
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models ICML 2023
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning EMNLP 2022
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation ACL 2022
Adversarial Retriever-Ranker for Dense Text Retrieval ICLR 2022
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations ACL 2022
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation EMNLP 2022
P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training 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
CULG: Commercial Universal Language Generation NAACL 2022
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation IJCNLP 2021
GLGE: A New General Language Generation Evaluation Benchmark ACL 2021
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation ACL 2021
FastSeq: Make Sequence Generation Faster ACL 2021
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining ICML 2021
EL-Attention: Memory Efficient Lossless Attention for Generation ICML 2021
Poolingformer: Long Document Modeling with Pooling Attention ICML 2021
FastSeq: Make Sequence Generation Faster IJCNLP 2021
GLGE: A New General Language Generation Evaluation Benchmark IJCNLP 2021
Mask Attention Networks: Rethinking and Strengthen Transformer NAACL 2021
KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning EMNLP 2021
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space EMNLP 2020
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning AAAI 2020
Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing AAAI 2020
Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation EMNLP 2020
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation EMNLP 2020
ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training EMNLP 2020
RikiNet: Reading Wikipedia Pages for Natural Question Answering ACL 2020
Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing COLING 2020
An Enhanced Knowledge Injection Model for Commonsense Generation COLING 2020
Uncertainty-Aware Label Refinement for Sequence Labeling EMNLP 2020
Joint Type Inference on Entities and Relations via Graph Convolutional Networks ACL 2019
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching EMNLP 2019
Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching IJCNLP 2019
Weakly Supervised Multi-task Learning for Semantic Parsing IJCAI 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
A Generative Model for Identifying Target Companies of Microblogs COLING 2014
Time-aware Personalized Hashtag Recommendation on Social Media COLING 2014
Detecting Spammers in Community Question Answering IJCNLP 2013