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Meiqi Guo

4 papers here

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.CL2
  • cs.AI1
  • cs.CV1
same name
  • Meiqi Guo — 1 paper, 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 citedMoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.AI2026

Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care

Aiyuan Yang, Canbin Piao, Chengfeng Dou +25

Baichuan-M4 is Baichuan Intelligence's clinical-grade medical large model, designed for continuous care rather than single-turn medical question answering. It is built as a coordin…

cs.CV2026

3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code

Yipeng Gao, Lei Shu, Genzhi Ye +5

Procedural 3D modeling through code is emerging as a versatile paradigm, offering deterministic, engine-ready, and precisely editable assets that neural 3D generators inherently la…

cs.CL2025

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning

Congmin Zheng, Jiachen Zhu, Jianghao Lin +6

Process Reward Models (PRMs) play a central role in evaluating and guiding multi-step reasoning in large language models (LLMs), especially for mathematical problem solving. Howeve…

cs.CL2024★ 1 cited

MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts

Lin Ning, Harsh Lara, Meiqi Guo +1

Parameter-efficient fine-tuning techniques like Low-Rank Adaptation (LoRA) have revolutionized the adaptation of large language models (LLMs) to diverse tasks. Recent efforts have…

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