🧑‍🔬 Yifei Ming

🏛️ Affiliations

🏢SalesforceSan Francisco · United States2025–2026 · 3 paperscurrent🏢GoogleMountain View · United States2026 · 1 papercurrent🎓University of North Carolina at Chapel HillChapel Hill · United States2026 · 1 papercurrent🎓University of Wisconsin–MadisonMadison · United States2022–2024 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings (2025 · 14 citations)
   LLM judges are often marketed as general-purpose evaluators, but they are rarely tested on contextual tasks such as RAG and summarization, where a response must be grounded in supplied external material.
2. Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction (2026 · 13 citations)
   Long-context LLMs are costly to run. KV-cache eviction methods such as H2O and SnapKV make decoding cheaper, but they leave the prefilling phase untouched, and that phase becomes the main bottleneck as inputs grow. The authors observe that attention in early-to-middle layers already points to the tokens that matter…
3. Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math (2026 · 2 citations)
   Frontier LLMs now write Olympiad-level proofs, such as the gold-medal results at IMO 2025. Training and evaluating such systems requires automatic verifiers that can judge each step of a proof, not just the final answer. Existing step-level benchmarks have weaknesses: they use easy questions, outputs from weak…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems ↗arXiv:2504.09037 · no summary yetZixuan Ke et al.2025 · 39 citations
2. Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Srijan Bansal, Yifei Ming, et al.2025 · 14 citations
3. Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token ReductionFindings of the Association for Computational LinguisticsZhenmei Shi, Yifei Ming, Xuan-Phi Nguyen, et al.2026 · 13 citations
4. Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier MathAnnual Meeting of the Association for Computational Linguistics (ACL)Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, et al.2026 · 2 citations

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Shafiq Joty ×3
• Austin Xu ×2
• Xuan-Phi Nguyen ×2
• Caiming Xiong
• Semih Yavuz
• Srijan Bansal
• Yingyu Liang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026, ACL 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 58 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 31 October 2026

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