Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Yue Fang
Observed name:
Fang, Yue
Institution:
Peking University
Observed institution:
Peking University
OpenAlex ID:
A5125718284
GitHarness: Git Init Your Harness Working Memory for Perpetual User Requirements
2026
·
Yang, Zhibang
, Jiang, Xinke
, et al.
·
arXiv (Cornell University)
PDF
ToolAtlas: Learning Once, Reusing Everywhere with Tool-Side Memory
2026
·
Fang, Yue
, Yang, Zhibang
, et al.
·
arXiv (Cornell University)
PDF
The Tell-Tale Norm: $\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models
2026
·
Zhang, Jinyang
, Ding, Hongxin
, et al.
·
arXiv (Cornell University)
PDF
DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search
2026
·
Association for Computational Linguistics 2026
, Chu, Xu
, et al.
·
Underline Science Inc.
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
2026
·
Association for Computational Linguistics 2026
, Ding, Hongxin
, et al.
·
Underline Science Inc.
GraphWalker: Patient Analogy Meets Information Gain for Clinical Reasoning with Large Language Models
2026
·
Fang, Yue
, Liao, Weibin
, et al.
·
arXiv (Cornell University)
PDF
StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management
2026
·
Zhang, Ruizhe
, Jiang, Xinke
, et al.
·
arXiv (Cornell University)
PDF
57 - Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
2026
·
Association for Artificial Intelligence 2026
, Ding, Hongxin
, et al.
·
Underline Science Inc.
Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
2026
·
Association for Artificial Intelligence 2026
, Ding, Hongxin
, et al.
·
Underline Science Inc.
AgenticRag-R1: Agentic Reinforcement Learning with Stack Memory for Multi-Step Reasoning, Retrieval and Memorizing
2026
·
Xinke Jiang
, Yue Fang
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
The Imitation Game: When LLMs Learn to Reason Like Programs via Code-Centric Reasoning Data Synthesis
2026
·
Jinyang Zhang
, Weibin Liao
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Show more works
View as search
Works count:
11
Citation count:
H-index:
I10-index:
Year
Topic
Type