Scott Sanner
Scott Sanner has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Dialogue systems, Reasoning; often with Armin Toroghi, Jiazhou Liang, Yifan Simon Liu.
OpenAlex · ORCID · Wikidata · h-index 39 · 297 works · 6,834 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 62 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #8126
Affiliations
Fields, topics and concepts
📚 Shelves 6The 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 workInformation Systems · 1 work
🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 workDialogue systems · 1 workVision & language · 1 work
Works by year
2020s
Papers
- LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations (2023 · 32 citations)
The paper asks whether GPT-style LLMs can handle the Abstraction and Reasoning Corpus (ARC), a benchmark of grid puzzles built on human "core knowledge" priors such as objectness, counting and basic geometry. - Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments (2026 · 4 citations)
Natural Language Recommendation (NLRec) ranks items, each described by several text passages, against a free-form user request. - Semantic XPath: Structured Agentic Memory Access for Conversational AI (2026 · 3 citations)
Task-oriented conversational agents, such as those that plan trips, manage to-do lists or recommend meal kits, must keep revisable, hierarchical memory across many turns.
All works
- Online Class-Incremental Continual Learning with Adversarial Shapley Value ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDongsub Shim et al.2021 · 193 citations
- Low-Rank Linear Cold-Start Recommendation from Social Data ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetSuvash Sedhain et al.2017 · 70 citations
- LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based RepresentationsarXiv:2305.18354Yudong Xu, Wenhao Li, Pashootan Vaezipoor, et al.2023 · 32 citations
- DiffuDetox: A Mixed Diffusion Model for Text Detoxification ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetGriffin Floto et al.2023 · 20 citations
- COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetMohammad Mahdi Abdollah Pour et al.2023 · 12 citations
- Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance JudgmentsFindings of the Association for Computational LinguisticsYifan Simon Liu, Qianfeng Wen, Jiazhou Liang, et al.2026 · 4 citations
- Preference Learning (Dagstuhl Seminar 14,101) ↗Open access LMU (Ludwid Maxmilian's Universitat Munchen) · no summary yetJohannes Fürnkranz et al.2014 · 4 citations
- Semantic XPath: Structured Agentic Memory Access for Conversational AIAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Simon Liu, Ruifan Wu, Liam Gallagher, et al.2026 · 3 citations
Co-authors here
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Findings of the Association for Computational Linguistics: ACL 2023
- Findings of the Association for Computational Linguistics: EMNLP 2023
- Open access LMU (Ludwid Maxmilian's Universitat Munchen)
Cited by
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