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Zhangyue Yin

28 papers · 2022–2026 · 8 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.

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+6 more ↓ 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (58) 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🤝 Dynamic Duo (23)
🤝 Dynamic Duo (23) ⚡ Prolific Year · Prolific 🔥 Unstoppable · Bronze ❓ The Questioner (5) 💎 Century Club · Bronze 🗃️ Keyword Collector (147)

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