← Authors

Yelong Shen

52 papers · 2015–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (81) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2) πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (33) πŸš€ Conference Pioneer πŸ’Ž Century Club (52) πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (182) πŸ“ˆ Trend Setter ❓ The Questioner ⚑ Prolific Year (5)

Conferences

ACL (13) ICLR (7) NAACL (7) NIPS (6) EMNLP (5) IJCNLP (5) ICML (4) CVPR (3) AAAI (2)

Top co-authors

Weizhu Chen (33) Yeyun Gong (18) Nan Duan (16) Jianfeng Gao (15) Xiaodong Liu (11) Pengcheng He (8) Jiawei Han (6) Xiao Liu (5) CHEN LIN (5) Zhibin Gou (4)

Keywords

large language model (7) few-shot learning (5) question answering (5) text generation (5) neural network (4) recurrent neural network (4) language model (4) machine reading comprehension (4) contrastive learning (4) retrieval-augmented generation (3) vision-language model (3) chain-of-thought prompting (3) dense retrieval (3) pre-trained language model (3) open domain question answering (3) zero-shot learning (3) model compression (3) reinforcement learning (3) open-domain question answering (3) multi-task learning (2)

Papers

Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling ICLR 2025
Adapting LLM Agents with Universal Communication Feedback NAACL 2025
Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation CVPR 2025
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning AAAI 2025
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning AAAI 2025
Not All Tokens Are What You Need for Pretraining NIPS 2024
Competition-Level Problems are Effective LLM Evaluators ACL 2024
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving ICLR 2024
Language Models can be Deductive Solvers NAACL 2024
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing ICLR 2024
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models NAACL 2024
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models NAACL 2024
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation EMNLP 2024
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation NIPS 2023
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy EMNLP 2023
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models ICML 2023
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise ICML 2023
In-Context Learning Unlocked for Diffusion Models NIPS 2023
Joint Generator-Ranker Learning for Natural Language Generation ACL 2023
LoRA: Low-Rank Adaptation of Large Language Models ICLR 2022
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models ACL 2022
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing ACL 2022
Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022
Controllable Natural Language Generation with Contrastive Prefixes ACL 2022
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search 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
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation NAACL 2022
Generation-Augmented Retrieval for Open-Domain Question Answering IJCNLP 2021
Memory-Efficient Differentiable Transformer Architecture Search IJCNLP 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering ACL 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering IJCNLP 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering IJCNLP 2021
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding ICLR 2021
Memory-Efficient Differentiable Transformer Architecture Search ACL 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering ACL 2021
Generation-Augmented Retrieval for Open-Domain Question Answering ACL 2021
Integrated Defense for Resilient Graph Matching ICML 2021
Poolingformer: Long Document Modeling with Pooling Attention ICML 2021
Adversarial Attacks on Deep Graph Matching NIPS 2020
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning ACL 2020
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension ACL 2020
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning NAACL 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization CVPR 2019
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension NAACL 2019
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension ICLR 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search NIPS 2018
Stochastic Answer Networks for Machine Reading Comprehension ACL 2018
Language-Based Image Editing With Recurrent Attentive Models CVPR 2018
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks IJCNLP 2017
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NIPS 2015