◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ming Yin

Princeton ECE

22 papers hereh-index 143.1k citations38 works total

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

author position
  • first author8
  • middle author14

Across the 22 of 22 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.CL4
  • cs.NI1
affiliations
  • Princeton ECE
Homepage
same name
  • Ming Yin — 19 papers, h 28
  • Ming Yin — 7 papers, h 5
  • Ming Yin — 6 papers, h 3
  • Ming Yin — 5 papers, h 2
  • Ming Yin — 4 papers, h 2
  • Ming Yin — 4 papers, h 2

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
20202026
most citedNear-Optimal Offline Reinforcement Learning via Double Variance Reduction

18 citations · 44 across the 17 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale

Ang Li, Ben Liu, Bin Han +215

Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…

cs.CL2024

Transfer Q Star: Principled Decoding for LLM Alignment

Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin +4

Aligning foundation models is essential for their safe and trustworthy deployment. However, traditional fine-tuning methods are computationally intensive and require updating billi…

cs.CL2023

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Xiang Yue, Yuansheng Ni, Kai Zhang +19

We introduce MMMU: a new benchmark designed to evaluate multimodal models on massive multi-discipline tasks demanding college-level subject knowledge and deliberate reasoning. MMMU…

cs.CL2023

TheoremQA: A Theorem-driven Question Answering dataset

Wenhu Chen, Ming Yin, Max Ku +6

The recent LLMs like GPT-4 and PaLM-2 have made tremendous progress in solving fundamental math problems like GSM8K by achieving over 90% accuracy. However, their capabilities to s…

◍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.