Zhangyue Yin
28 papers · 2022–2026 · 8 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (58) 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🤝 Dynamic Duo (23)
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large language model
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attention mechanism
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reinforcement learning from human feedback
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information retrieval
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document retrieval
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in-context learning
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math word problem
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unanswerable question
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chain-of-thought reasoning
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graph neural network
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uncertainty quantification
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retrieval-augmented generation
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knowledge distillation
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reinforcement learning
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mathematical reasoning
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contrastive learning
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active learning
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domain adaptation
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Papers
Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
AAAI 2026
Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models
ACL 2026
OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows
ACL 2026
Thermometer of Thoughts: Enhancing LLM’s Exploration via Attention Temperature Modulation
ACL 2026
Are LLMs Rational Investors? A Study on the Financial Bias in LLMs
ACL 2025
Contextual Structure Knowledge Transfer for Graph Neural Networks
AAAI 2025
Dynamic and Generalizable Process Reward Modeling
ACL 2025
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
EMNLP 2025
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
EMNLP 2025
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
ACL 2025
VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction
EMNLP 2025
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
ICCV 2025
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
COLING 2024
Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem
COLING 2024
Can AI Assistants Know What They Don’t Know?
ICML 2024
Explicit Memory Learning with Expectation Maximization
EMNLP 2024
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
NAACL 2024
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk
EMNLP 2024
Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration
CVPR 2024
R3-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
EMNLP 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance
ACL 2024
Turn Waste into Worth: Rectifying Top-k Router of MoE
EMNLP 2024
Unified Active Retrieval for Retrieval Augmented Generation
EMNLP 2024
Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution
CVPR 2023
Do Large Language Models Know What They Don’t Know?
ACL 2023
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication
EMNLP 2023
Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning
COLING 2022
What Dense Graph Do You Need for Self-Attention?
ICML 2022