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Jayanth Srinivasa

Jayanth Srinivasa has 4 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Gaowen Liu, Dawn Song, Kaiwen Zhou.

4 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 6 · 62 works · 131 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 100 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #7991

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Cisco SystemsSan Jose · United States2020–2026 · 6 papersEmployment since 2020 · Sr. Researcher, Cisco Researchcurrent🎓Arizona State UniversityTempe · United States2026 · 4 paperscurrent🤝Cisco And Cisco ProductionsRiver Forest · United States2025–2026 · 3 paperscurrent🎓Cisco CollegeCisco · United States2025–2026 · 3 paperscurrent🏢Cisco SystemsHong Kong · China2025–2026 · 3 paperscurrent🎓University of California San DiegoSan Diego · United States2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksSafety Research · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 2 worksReasoning · 2 worksLanguage models & pretraining · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1 (2025 · 30 citations)
    Open-weight large reasoning models such as DeepSeek-R1 have become much stronger. Because they are freely available, misuse is a real concern. This study audits their safety systematically. It compares three open reasoning models (DeepSeek-R1, the Llama 3.3-based distilled DeepSeek-R1-70b, and QwQ) with non-reasoning…
  2. SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning (2025 · 9 citations)
    Large Reasoning Models (LRMs) such as DeepSeek-R1 deliberate before answering, but they often comply with harmful requests and jailbreaks.
  3. Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection (2026 · 4 citations)
    The paper asks how well language models can absorb new facts after pre-training. Earlier knowledge-injection studies mostly relied on synthetic data drawn from noisy Wikipedia snapshots, and their questions were often poorly specified.
  4. FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments (2026)
    LLM-driven agents in multi-turn customer-service tool-use settings often fail because early wrong decisions compound over the conversation.

All works

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

  1. The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1International Joint Conference on Natural Language Processing (IJCNLP)Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, et al.2025 · 30 citations
  2. Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents ↗arXiv:2502.16069 · no summary yetPatrick Tser Jern Kon et al.2025 · 20 citations
  3. SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills ↗arXiv (Cornell University) · no summary yetZheng, Boyuan et al.2025 · 19 citations
  4. EXP-Bench: Can AI Conduct AI Research Experiments? ↗arXiv:2505.24785 · no summary yetPatrick Tser Jern Kon et al.2025 · 17 citations
  5. Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning ↗Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yetVenkatesh Mishra et al.2025 · 13 citations
  6. SafeKey: Amplifying Aha-Moment Insights for Safety ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, et al.2025 · 9 citations
  7. Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge InjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuwei Zhang, Wenhao Yu, Shangbin Feng, et al.2026 · 4 citations
  8. FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use EnvironmentsFindings of the Association for Computational LinguisticsAmir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, et al.2026

 Co-authors here

12 of 15 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 100 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated

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