◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Lingpeng Kong

13 papers hereh-index 7351 citations13 works total

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

author position
  • middle author4
  • last author8

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.AI8
  • cs.CL4
  • cs.LG1
same name
  • Lingpeng Kong — 73 papers, h 41
  • Lingpeng Kong — 20 papers, h 11
  • Lingpeng Kong — 18 papers, h 11
  • Lingpeng Kong — 11 papers, h 7
  • Lingpeng Kong — 11 papers, h 5
  • Lingpeng Kong — 8 papers, h 5

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 citedAgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

8 citations · 10 across the 12 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

PrismaCoder: Pushing the Boundaries of Open Multimodal Code Intelligence through Decomposed Rubric Synthesis

Qiushi Sun, Jingyang Gong, Yang Liu +14

Multimodal code intelligence connects the symbolic world of programs with the visual world their execution creates. Interest in this capability is burgeoning, as models are increas…

cs.CL2025

Reasoning Does Not Necessarily Improve Role-Playing Ability

Xiachong Feng, Longxu Dou, Lingpeng Kong

The application of role-playing large language models (LLMs) is rapidly expanding in both academic and commercial domains, driving an increasing demand for high-precision role-play…

cs.CL2024★ 1 cited

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios

Xiachong Feng, Longxu Dou, Ella Li +5

Game-theoretic scenarios have become pivotal in evaluating the social intelligence of Large Language Model (LLM)-based social agents. While numerous studies have explored these age…

cs.CL2024★ 8 cited

AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Chang Ma, Junlei Zhang, Zhihao Zhu +6

Evaluating Large Language Models (LLMs) as general-purpose agents is essential for understanding their capabilities and facilitating their integration into practical applications.…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.