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Nedim Lipka

Nedim Lipka has 4 papers in our library, in 2026, most of them on Information retrieval & search, Vision & language; often with Puneet Mathur, Akriti Jain, Aparna Garimella.

4 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 19 · 170 works · 1,442 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 158 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #10631

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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. Structured Uncertainty guided Clarification for LLM Agents (2026 · 4 citations)
    Tool-calling LLM agents often fail when a user's request is vague or missing details. They either guess arguments or ask needless questions, because prompting-based clarification has no clear rule for what to ask or when to stop. The authors reframe clarification around the tool schema itself. The agent keeps…
  2. AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasks (2026)
    Benchmarks for LLM-based report writing usually test isolated subskills, such as summarization or table aggregation. Benchmarks with realistic professional tasks, like GDPval, depend on costly expert-built tasks. AnalystBench aims to evaluate the whole analyst workflow at low cost.
  3. MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference (2026)
    Benchmarks for question answering usually test ambiguity or multi-hop reasoning, but rarely both together.
  4. Test-Time Strategies for More Efficient and Accurate Agentic RAG (2026)
    The paper looks at weaknesses of Search-R1, an agentic RAG framework trained with reinforcement learning to alternate reasoning with retrieval.

All works

7 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. Graph Neural Networks with Heterophily ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetJiong Zhu et al.2021 · 227 citations
  2. LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding ↗arXiv:2306.17107 · no summary yetYanzhe Zhang et al.2023 · 98 citations
  3. Personalization of Large Language Models: A Survey ↗arXiv (Cornell University) · no summary yetZhehao Zhang et al.2024 · 61 citations

 Co-authors here

12 of 13 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 158 times (of the 149,439 papers whose bibliographies we read); 46 citing papers with a page here →.

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