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.
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
Affiliations
Concepts, shelves and topics
📚 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 worksPhilosophy · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
Papers
- 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. - 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. - 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
- Membership Inference Attacks against Language Models via Neighbourhood ComparisonFindings of the Association for Computational LinguisticsJustus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, et al.2023 · 162 citations
- Logical Fallacy DetectionFindings of the Association for Computational LinguisticsZhijing Jin, Abhinav Lalwani, Tejas Vaidhya, et al.2022 · 119 citations
- A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.2023 · 65 citations
- 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
- Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273 · original ↗ · no summary yetZhijing Jin et al.2024 · 21 citations
- 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
- 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
- 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
- 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
- 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
- Mrinmaya Sachan ×3
- Zhijing Jin ×3
- Alessandro Stolfo
- Fatemehsadat Mireshghallah
- Kumar Shridhar
- Rada Mihalcea
- Taylor Berg-Kirkpatrick
- Xiaoyu Shen
- Yiwen Ding
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×5: ACL 2023
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2023, Findings of the Association for Computational Linguistics 2022
- Findings of the Association for Computational Linguistics: EACL 2026
Cited by
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