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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.

3 papers in our library · 2023–2026

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

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. 4 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. 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.
  2. 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.
  3. 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

8 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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Preference Learning (Dagstuhl Seminar 14,101) ↗Open access LMU (Ludwid Maxmilian's Universitat Munchen) · no summary yetJohannes Fürnkranz et al.2014 · 4 citations

 Co-authors here

4 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 62 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

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