Kang Liu
- Papers
- 32
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Authored papers
32DV-World: Benchmarking Data Visualization Agents in Real-World Scenarios
arXiv 2026
From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space
arXiv 2026
Think While Watching: Online Streaming Segment-Level Memory for Multi-Turn Video Reasoning in Multimodal Large Language Models
arXiv 2026
WideSeek: Advancing Wide Research via Multi-Agent Scaling
arXiv 2026
Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies
arXiv 2025
MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning
arXiv 2026
ResAdapt: Adaptive Resolution for Efficient Multimodal Reasoning
arXiv 2026
Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
CVPR 2025 1
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent
arXiv 2025
MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?
arXiv 2025
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
arXiv 2025
Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
arXiv 2025
MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
arXiv 2025
DAComp: Benchmarking Data Agents across the Full Data Intelligence Lifecycle
arXiv 2025
GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
arXiv 2025
Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning
arXiv 2025
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
arXiv 2024
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
arXiv 2024
Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation
arXiv 2024
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering
arXiv 2024
Citekit: A Modular Toolkit for Large Language Model Citation Generation
arXiv 2024
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
arXiv 2024
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks
arXiv 2024
MCL: Multi-view Enhanced Contrastive Learning for Chest X-ray Report Generation
arXiv 2024
$\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models
arXiv 2024
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models
arXiv 2023
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
arXiv 2023
nanoLM: an Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales
arXiv 2023
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
arXiv 2023
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models
arXiv 2023
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks
arXiv 2023
Large Language Models are Better Reasoners with Self-Verification
arXiv 2022
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