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Kaiming Liu

4 accepted papers

2026

Doctor-R1: Mastering Clinical Inquiry with Experiential Agentic Reinforcement Learning

ICLR 2026poster

The professionalism of a human doctor in outpatient service depends on two core abilities: the ability to make accurate medical decisions and the medical consultation skill to conduct strategic, empathetic patient inquiry. Existing Large Language Models (LLMs) have achieved remarkable accuracy on me…

Cited by 0SourcecodeScholar
2025

Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation

EMNLP 2025

Retrieval-Augmented Generation (RAG) has emerged as a widely adopted approach for knowledge injection during large language model (LLM) inference in recent years. However, due to their limited ability to exploit fine-grained inter-document relationships, current RAG implementations face challenges i

2024

Dual Semantic Fusion Hashing for Multi-Label Cross-Modal Retrieval

IJCAI 2024poster

Cross-modal hashing (CMH) has been widely used for multi-modal retrieval tasks due to its low storage cost and fast query speed. Although existing CMH methods achieve promising performance, most of them mainly rely on coarse-grained supervision information (\ie pairwise similarity matrix) to measure…

Cited by 4SourcePDFScholar
2024

Position: Towards Unified Alignment Between Agents, Humans, and Environment

ICML 2024poster

The rapid progress of foundation models has led to the prosperity of autonomous agents, which leverage the universal capabilities of foundation models to conduct reasoning, decision-making, and environmental interaction. However, the efficacy of agents remains limited when operating in intricate, re…

Cited by 4SourcePDFScholar