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Md Nayem Uddin

Md Nayem Uddin has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Question answering, Reasoning; often with Chitta Baral, Amir Saeidi, Divij Handa.

3 papers in our library · 2024–2026

OpenAlex · h-index 3 · 17 works · 27 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 26 times in our library · ⭐ Paper Stars ranking: #8379

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

🎓Arizona State UniversityTempe · United States2024–2026 · 6 paperscurrent

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksQuestion answering · 1 workBias, fairness & safety · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex Ciphers (2024 · 15 citations)
    Safety training for LLMs usually covers harmful requests in natural language or in well-known encodings such as Base64. This work argues that this leaves a gap: stronger reasoning lets models decode ciphers invented on the spot, and defenders cannot anticipate such ciphers in alignment data.
  2. UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization (2025 · 14 citations)
    Benchmarks for time-sensitive question answering (TSQA), such as TimeQA, TempReason and MenatQA, are built from real-world Wikidata/Wikipedia facts.
  3. From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents (2026 · 3 citations)
    Most benchmarks for long-term conversational memory reduce the problem to retrieving a single fact from an earlier session.

 Co-authors here

5 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 26 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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