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Luo Ji

Beijing Foreign Studies University

20 papers hereh-index 94.4k citations26 works total

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

author position
  • first author7
  • middle author2
  • last author8

Across the 17 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.IR7
  • cs.LG2
affiliations
  • Beijing Foreign Studies University
ORCID 0000-0002-2484-5345
same name
  • Luo Ji — 3 papers, h 1
  • Luo Ji — 1 paper, h 0
  • Luo Ji — 1 paper, h 3

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
20212026
most citedQwen Technical Report

110 citations · 115 across the 17 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

Chain-of-Conceptual-Thought Elicits Daily Conversation in Large Language Models

Qingqing Gu, Dan Wang, Yue Zhao +5

Chain-of-Thought (CoT) is widely applied to enhance the LLM capability in math, coding and reasoning tasks. However, its performance is limited for open-domain tasks, when there ar…

cs.CL2025

Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling

Yue Zhao, Xiaoyu Wang, Dan Wang +7

World models have been widely utilized in robotics, gaming, and auto-driving. However, their applications on natural language tasks are relatively limited. In this paper, we constr…

cs.CL2025

Convert Language Model into a Value-based Strategic Planner

Xiaoyu Wang, Yue Zhao, Qingqing Gu +4

Emotional support conversation (ESC) aims to alleviate the emotional distress of individuals through effective conversations. Although large language models (LLMs) have obtained re…

cs.CL2025

EmoFSM: A Finite State Machine for Emotional Support Conversation

Yue Zhao, Qingqing Gu, Xiaoyu Wang +5

Emotional support conversation (ESC) aims to alleviate people's emotional distress through effective conversations. Although large language models (LLMs) have made remarkable progr…

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