Yue Liu
- Papers
- 34
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Authored papers
34Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
arXiv 2026
AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents
arXiv 2026
Balancing Understanding and Generation in Discrete Diffusion Models
arXiv 2026
Kimi K2.5: Visual Agentic Intelligence
arXiv 2026
ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents
arXiv 2026
Secure Code Generation via Online Reinforcement Learning with Vulnerability Reward Model
arXiv 2026
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
arXiv 2025
Safety in Large Reasoning Models: A Survey
arXiv 2025
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
arXiv 2025
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
arXiv 2025
FlowReasoner: Reinforcing Query-Level Meta-Agents
arXiv 2025
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
arXiv 2025
Geometric-Mean Policy Optimization
arXiv 2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
arXiv 2025
AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models
arXiv 2025
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
arXiv 2025
Efficient Inference for Large Reasoning Models: A Survey
arXiv 2025
GuardReasoner: Towards Reasoning-based LLM Safeguards
arXiv 2025
Position: Reasoning After Perception Means Reasoning Without Vision
arXiv 2025
Towards Cross-View Point Correspondence in Vision-Language Models
arXiv 2025
VMamba: Visual State Space Model
arXiv 2024
vHeat: Building Vision Models upon Heat Conduction
arXiv 2024
CRAG -- Comprehensive RAG Benchmark
arXiv 2024
FlipAttack: Jailbreak LLMs via Flipping
arXiv 2024
DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution
arXiv 2024
Detecting Conversational Mental Manipulation with Intent-Aware Prompting
arXiv 2024
Deep Temporal Graph Clustering
arXiv 2023
Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey
arXiv 2023
Large Language Models for Software Engineering: A Systematic Literature Review
arXiv 2023
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?
arXiv 2023
At Which Training Stage Does Code Data Help LLMs Reasoning?
arXiv 2023
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal
arXiv 2022
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer
arXiv 2021
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System
arXiv 2020
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