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M. Song

4 papers hereh-index 331 citations14 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CL2
same name
  • M. Song — 153 papers, h 49
  • M. Song — 56 papers
  • M. Song — 21 papers, h 12
  • M. Song — 21 papers, h 9
  • M. Song — 13 papers, h 7
  • M. Song — 11 papers

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
20232026
most citedGPT-Lab: Next Generation Of Optimal Chemistry Discovery By GPT Driven Robotic Lab

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2026

Yunjue Agent Tech Report: A Fully Reproducible, Zero-Start In-Situ Self-Evolving Agent System for Open-Ended Tasks

Haotian Li, Shijun Yang, Weizhen Qi +5

Conventional agent systems often struggle in open-ended environments where task distributions continuously drift and external supervision is scarce. Their reliance on static toolse…

cs.CL2026

Ebisu: Benchmarking Large Language Models in Japanese Finance

Xueqing Peng, Ruoyu Xiang, Fan Zhang +9

Japanese finance combines agglutinative, head-final linguistic structure, mixed writing systems, and high-context communication norms that rely on indirect expression and implicit…

cs.CL2025

Yi-Lightning Technical Report

Alan Wake, Bei Chen, C. X. Lv +41

This technical report presents Yi-Lightning, our latest flagship large language model (LLM). It achieves exceptional performance, ranking 6th overall on Chatbot Arena, with particu…

cs.AI2023★ 1 cited

GPT-Lab: Next Generation Of Optimal Chemistry Discovery By GPT Driven Robotic Lab

Xiaokai Qin, Mingda Song, Yangguan Chen +2

The integration of robots in chemical experiments has enhanced experimental efficiency, but lacking the human intelligence to comprehend literature, they seldom provide assistance…

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