Yelong Shen
51 papers · 2015–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (89) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(31)
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Grand Slam
π§
Keyword Pioneer
π
Conference Pioneer
π₯
Unstoppable Β· Silver
β
The Questioner
β‘
Prolific Year Β· Prolific
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Century Club Β· Silver
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Renaissance Researcher
(9)
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Trend Setter
ποΈ
Keyword Collector
(212)
Venues
Top co-authors
Research topics
Machine Learning
(29)
Natural Language Processing
(28)
Artificial Intelligence
(27)
Core AI
(26)
Deep Learning
(24)
Learning Types Β· Machine Learning
(19)
Learning Types Β· Deep Learning
(16)
Applications
(14)
Core Methods
(12)
Generation Β· Natural Language Processing
(11)
Resources & Methods
(9)
Models
(7)
Computer Vision
(6)
Application Areas
(5)
Generation Β· Computer Vision
(5)
Keywords
large language model
(9)
question answering
(6)
few-shot learning
(5)
contrastive learning
(5)
language model
(5)
text generation
(5)
neural network
(4)
reinforcement learning
(4)
pre-trained language model
(4)
recurrent neural network
(4)
machine reading comprehension
(3)
retrieval-augmented generation
(3)
zero-shot learning
(3)
chain-of-thought prompting
(3)
vision-language model
(3)
model compression
(3)
dense retrieval
(2)
autoregressive model
(2)
multi-task learning
(2)
semantic representation
(2)
Papers
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
$Ξ΄$-STEAL: LLM Stealing Attack with Local Differential Privacy
ACML 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
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
AAAI 2025
MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
AAAI 2025
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
ICLR 2025
Competition-Level Problems are Effective LLM Evaluators
ACL 2024
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
ICLR 2024
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
NAACL 2024
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
NAACL 2024
Language Models can be Deductive Solvers
NAACL 2024
Not All Tokens Are What You Need for Pretraining
NeurIPS 2024
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation
EMNLP 2024
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
ICLR 2024
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation
NeurIPS 2023
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
EMNLP 2023
In-Context Learning Unlocked for Diffusion Models
NeurIPS 2023
Joint Generator-Ranker Learning for Natural Language Generation
ACL 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
Adversarial Retriever-Ranker for Dense Text Retrieval
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
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search
EMNLP 2022
Controllable Natural Language Generation with Contrastive Prefixes
ACL 2022
Finding the Dominant Winning Ticket in Pre-Trained Language Models
ACL 2022
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation
NAACL 2022
LoRA: Low-Rank Adaptation of Large Language Models
ICLR 2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval
EMNLP 2022
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation
EMNLP 2022
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding
ICLR 2021
Generation-Augmented Retrieval for Open-Domain Question Answering
ACL 2021
Integrated Defense for Resilient Graph Matching
ICML 2021
Memory-Efficient Differentiable Transformer Architecture Search
ACL 2021
Poolingformer: Long Document Modeling with Pooling Attention
ICML 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering
ACL 2021
UnitedQA: A Hybrid Approach for Open Domain Question Answering
ACL 2021
Adversarial Attacks on Deep Graph Matching
NeurIPS 2020
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
ACL 2020
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
ACL 2020
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension
NAACL 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization
CVPR 2019
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning
NAACL 2019
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
ICLR 2018
Language-Based Image Editing With Recurrent Attentive Models
CVPR 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
NeurIPS 2018
Stochastic Answer Networks for Machine Reading Comprehension
ACL 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
NeurIPS 2015