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Yongxiang Li

18 papers hereh-index 8154 citations34 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author12
  • last author3

Across the 16 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.AI4
  • cs.LG2
same name
  • Yongxiang Li — 9 papers, h 4
  • Yongxiang Li — 4 papers, h 14
  • Yongxiang Li — 4 papers, h 2
  • Yongxiang Li — 3 papers, h 28
  • Yongxiang Li — 2 papers, h 4
  • Yongxiang Li — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedTeleChat Technical Report

2 citations · 2 across the 16 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Plant, Persist, Trigger: Sleeper Attack on Large Language Model Agents

Yongxiang Li, Moxin Li, Zhixin Ma +4

Large Language Model (LLM) agents remain vulnerable to safety threats from the external environment, where attackers inject adversarial content into external observations such as t…

cs.AI2026

Pairwise Preference Reward and Group-Based Diversity Enhancement for Superior Open-Ended Generation

Guining Cao, Jiaxin Peng, Chu Zeng +3

Current reinforcement learning(RL) methods are broadly applicable and powerful in verifiable settings where scalar rewards can be provided. However, in open-ended generation tasks,…

cs.AI2025

TableReasoner: Advancing Table Reasoning Framework with Large Language Models

Sishi Xiong, Dakai Wang, Yu Zhao +8

The paper presents our system developed for table question answering (TQA). TQA tasks face challenges due to the characteristics of real-world tabular data, such as large size, inc…

cs.AI2025

Emotional Support with LLM-based Empathetic Dialogue Generation

Shiquan Wang, Ruiyu Fang, Zhongjiang He +2

Emotional Support Conversation (ESC) aims to provide empathetic and effective emotional assistance through dialogue, addressing the growing demand for mental health support. This p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.