Zhangyue Yin
28 papers · 2022–2026 · 8 conferences · across top CS/AI conferences
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Keywords
large language model
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uncertainty quantification
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information retrieval
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unanswerable question
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in-context learning
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attention mechanism
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document retrieval
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math word problem
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graph neural network
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chain-of-thought reasoning
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reinforcement learning from human feedback
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mathematical reasoning
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contrastive learning
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domain adaptation
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neural tangent kernel
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transfer learning
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vision transformer
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representation learning
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question answering
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Papers
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 LLMβs Exploration via Attention Temperature Modulation
ACL 2026
Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method
AAAI 2026
Contextual Structure Knowledge Transfer for Graph Neural Networks
AAAI 2025
Dynamic and Generalizable Process Reward Modeling
ACL 2025
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
ACL 2025
Are LLMs Rational Investors? A Study on the Financial Bias in LLMs
ACL 2025
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
EMNLP 2025
VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction
EMNLP 2025
R3-RAG: Learning Step-by-Step Reasoning and Retrieval for LLMs via Reinforcement Learning
EMNLP 2025
VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks
ICCV 2025
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
NAACL 2024
Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem
COLING 2024
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk
EMNLP 2024
R3-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL
EMNLP 2024
Unified Active Retrieval for Retrieval Augmented Generation
EMNLP 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
COLING 2024
Turn Waste into Worth: Rectifying Top-k Router of MoE
EMNLP 2024
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance
ACL 2024
Explicit Memory Learning with Expectation Maximization
EMNLP 2024
Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration
CVPR 2024
Can AI Assistants Know What They Donβt Know?
ICML 2024
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication
EMNLP 2023
Do Large Language Models Know What They Donβt Know?
ACL 2023
Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution
CVPR 2023
What Dense Graph Do You Need for Self-Attention?
ICML 2022
Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning
COLING 2022