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Chang Ma

12 papers hereh-index 10688 citations13 works total

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

author position
  • first author3
  • middle author9

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

fields
  • cs.LG5
  • cs.AI3
  • cs.CL3
  • q-bio.BM1
same name
  • Chang Ma — 4 papers, h 3
  • Chang Ma — 3 papers, h 3
  • Chang Ma — 3 papers, h 2
  • Chang Ma — 1 paper
  • Chang Ma — 1 paper, h 1
  • Chang Ma — 1 paper, h 1

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
20212025
most citedPEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

59 citations · 118 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.AI2024

Non-myopic Generation of Language Models for Reasoning and Planning

Chang Ma, Haiteng Zhao, Junlei Zhang +2

Large Language Models have demonstrated remarkable abilities in reasoning and planning by breaking down complex problems into sequential steps. Despite their success in various dom…

cs.AI2024

Empowering Large Language Model Agents through Action Learning

Haiteng Zhao, Chang Ma, Guoyin Wang +5

Large Language Model (LLM) Agents have recently garnered increasing interest yet they are limited in their ability to learn from trial and error, a key element of intelligent behav…

cs.CL2024★ 1 cited

KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Models

Fei Yuan, Chang Ma, Shuai Yuan +2

The lottery ticket hypothesis posits the existence of ``winning tickets'' within a randomly initialized neural network. Do winning tickets exist for LLMs in fine-tuning scenarios?…

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.…

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