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Bernhard Schölkopf

Bernhard Schölkopf has 3 papers in our library, in 2022–2023, most of them on Language models & pretraining, Reasoning; often with Mrinmaya Sachan, Zhijing Jin, Alessandro Stolfo.

3 papers in our library · 2022–2023

OpenAlex · ORCID · Wikidata · h-index 140 · 1,342 works · 148,130 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 244 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #3994

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. 40 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Membership Inference Attacks against Language Models via Neighbourhood Comparison (2023 · 162 citations)
    The paper examines membership inference attacks (MIAs) on language models, which try to determine whether a specific text was part of a model's training set.
  2. Logical Fallacy Detection (2022 · 119 citations)
    The authors introduce logical fallacy detection as a new NLP task: classifying an argument by the type of flawed reasoning it contains.
  3. A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models (2023 · 65 citations)
    Large language models perform well on math benchmarks, but it is unclear whether they truly reason or exploit superficial cues in problem wording.

All works

10 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. Logical Fallacy DetectionFindings of the Association for Computational LinguisticsZhijing Jin, Abhinav Lalwani, Tejas Vaidhya, et al.2022 · 119 citations
  2. Competition of Mechanisms: Tracing How Language Models Handle Facts and CounterfactualsProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetFrancesco Ortu et al.2024 · 22 citations
  3. Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273 · original ↗ · no summary yetZhijing Jin et al.2024 · 21 citations
  4. Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency AnalysisarXiv:2311.08605 · original ↗ · no summary yetDavid F. Jenny et al.2023 · 6 citations
  5. DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree TraversalProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetVaibhav Aggarwal et al.2025 · 4 citations
  6. PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in OverleafProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) · original ↗ · no summary yetJiarui Liu et al.2026 · 1 citation
  7. When Do Language Models Endorse Limitations on Human Rights Principles?Findings of the Association for Computational Linguistics: EACL 2026 · original ↗ · no summary yetKeenan Samway et al.2026 · 1 citation
  8. Test of Time: Rethinking Temporal Signal of Benchmark ContaminationProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetTerry Jingchen Zhang et al.2026 · 1 citation

 Co-authors here

9 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 244 times (of the 141,840 papers whose bibliographies we read); 13 citing papers with a page here →.

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