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20242026
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cs.LG2026

LoongReflect: Boosting Long-Horizon Reflection in Search Agents via Global Perspective Distillation

Zhixin Zhang, Xinke Jiang, Zhibang Yang +5

Large language model agents increasingly rely on long-horizon reasoning to solve complex tasks involving planning, tool use, and memory. A critical capability in such settings is r…

cs.LG2026

GraphWalker: Patient Analogy Meets Information Gain for Clinical Reasoning with Large Language Models

Yue Fang, Weibin Liao, Yuxin Guo +8

Clinical reasoning over electronic health records (EHRs) is a fundamental yet challenging task in modern healthcare. While large language models (LLMs) offer a promising paradigm v…

cs.LG2025

Bridging Global Intent with Local Details: A Hierarchical Representation Approach for Semantic Validation in Text-to-SQL

Rihong Qiu, Zhibang Yang, Xinke Jiang +5

Text-to-SQL translates natural language questions into SQL statements grounded in a target database schema. Ensuring the reliability and executability of such systems requires vali…

cs.LG2025

DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search

Zhibang Yang, Xinke Jiang, Rihong Qiu +8

Federated Retrieval (FR) routes queries across multiple external knowledge sources, to mitigate hallucinations of LLMs, when necessary external knowledge is distributed. However, e…

cs.LG20241 cited

RAGraph: A General Retrieval-Augmented Graph Learning Framework

Xinke Jiang, Rihong Qiu, Yongxin Xu +7

Graph Neural Networks (GNNs) have become essential in interpreting relational data across various domains, yet, they often struggle to generalize to unseen graph data that differs…

cs.LG20241 cited

3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection

Hongxin Ding, Yue Fang, Runchuan Zhu +6

Large Language Models(LLMs) excel in general tasks but struggle in specialized domains like healthcare due to limited domain-specific knowledge.Supervised Fine-Tuning(SFT) data con…