Yelong Shen
54 papers · 2015–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (10) π Conference Polyglot (9) π Renaissance Researcher (9) πΊοΈ Taxonomy Completionist (81)
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Taxonomy Completionist
(81)
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Keyword Pioneer
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Hot Topic Early Bird
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Keyword Champion
(2)
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Grand Slam
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Topic Evolution
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Dynamic Duo
(33)
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Conference Pioneer
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Century Club
(52)
π₯
Unstoppable
(9)
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Keyword Collector
(182)
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Trend Setter
β
The Questioner
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Prolific Year
(5)
Conferences
ACL (15)
ICLR (7)
NAACL (7)
NIPS (6)
EMNLP (5)
IJCNLP (5)
ICML (4)
CVPR (3)
AAAI (2)
Top co-authors
Keywords
large language model
(7)
few-shot learning
(5)
question answering
(5)
text generation
(5)
contrastive learning
(4)
neural network
(4)
recurrent neural network
(4)
machine reading comprehension
(4)
language model
(4)
reinforcement learning
(4)
retrieval-augmented generation
(3)
vision-language model
(3)
chain-of-thought prompting
(3)
pre-trained language model
(3)
dense retrieval
(3)
open domain question answering
(3)
zero-shot learning
(3)
model compression
(3)
open-domain question answering
(3)
multi-task learning
(2)
Papers
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability
ACL 2026
Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions
ACL 2026
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
AAAI 2025
Is Your World Simulator a Good Story Presenter? A Consecutive Events-Based Benchmark for Future Long Video Generation
CVPR 2025
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
ICLR 2025
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
AAAI 2025
Adapting LLM Agents with Universal Communication Feedback
NAACL 2025
Competition-Level Problems are Effective LLM Evaluators
ACL 2024
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
ICLR 2024
Not All Tokens Are What You Need for Pretraining
NIPS 2024
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation
EMNLP 2024
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
NAACL 2024
Language Models can be Deductive Solvers
NAACL 2024
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
NAACL 2024
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
ICLR 2024
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
ICML 2023
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
EMNLP 2023
In-Context Learning Unlocked for Diffusion Models
NIPS 2023
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
NIPS 2023
Joint Generator-Ranker Learning for Natural Language Generation
ACL 2023
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
ICML 2023
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation
NAACL 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
LoRA: Low-Rank Adaptation of Large Language Models
ICLR 2022
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
ICLR 2021
Memory-Efficient Differentiable Transformer Architecture Search
ACL 2021
Integrated Defense for Resilient Graph Matching
ICML 2021
Poolingformer: Long Document Modeling with Pooling Attention
ICML 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering
ACL 2021
Generation-Augmented Retrieval for Open-Domain Question Answering
ACL 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering
IJCNLP 2021
Generation-Augmented Retrieval for Open-Domain Question Answering
IJCNLP 2021
Reader-Guided Passage Reranking 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
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
ACL 2020
Adversarial Attacks on Deep Graph Matching
NIPS 2020
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
ACL 2020
StoryGAN: A Sequential Conditional GAN for Story Visualization
CVPR 2019
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
NAACL 2019
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension
NAACL 2019
Stochastic Answer Networks for Machine Reading Comprehension
ACL 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
NIPS 2018
Language-Based Image Editing With Recurrent Attentive Models
CVPR 2018
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
ICLR 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