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David Reitter

David Reitter has 4 papers in our library, in 2021–2023, most of them on Dialogue systems, Text generation, Evaluation & benchmarks; often with Hannah Rashkin, Gaurav Singh Tomar, Dipanjan Das.

4 papers in our library · 2021–2023

OpenAlex · ORCID · Wikidata · h-index 25 · 130 works · 3,506 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 3,660 citations in our library · ⭐ Paper Star rank #3257

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

🎓Pennsylvania State UniversityState College · United States2013–2025 · 53 paperscurrent🏢GoogleMountain View · United States2019–2024 · 23 papers🎓Carnegie Mellon UniversityPittsburgh · United States2009–2021 · 9 papers🏢Google DeepMindLondon · United Kingdom2021–2024 · 8 papers🎓University of EdinburghEdinburgh · United Kingdom2005–2011 · 7 papers🎓Massachusetts Institute of TechnologyCambridge · United States2003–2004 · 3 papers🎓New York UniversityNew York · United States2021–2023 · 2 papers🎓University of PotsdamPotsdam · Germany2002 · 2 papers
🏛️Penn State University ParkCentre County · United StatesEmployment
🏛️Pennsylvania State University University ParkUniversity Park · United StatesEmployment

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.

 Concepts, shelves and topics

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

📚 Shelves 5 Arts and Humanities · 4 works Computer Science · 4 works Artificial Intelligence · 4 works Language and Linguistics · 4 works Information Systems · 1 work

🧭 Topics 4 Dialogue systems · 3 works Text generation · 1 work Evaluation & benchmarks · 1 work Information retrieval & search · 1 work

 Works by year

2020s

20231 paper20222 papers20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Measuring Attribution in Natural Language Generation Models (2023 · 198 citations)
    Neural text generators often produce fluent statements that their underlying sources do not support. Prior work on hallucination and faithfulness lacked a shared, formally grounded way to measure this. The authors propose Attributable to Identified Sources (AIS), a framework that judges whether generated text about…
  2. Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features (2021 · 140 citations)
    Knowledge-grounded dialogue agents are meant to pass on information from a trusted source text. Datasets such as Wizard of Wikipedia, however, mix evidence-based replies with chit-chat, opinions and invented personal details, so models trained on them tend to hallucinate. Rather than collecting cleaner data, the…
  3. Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark (2022 · 99 citations)
    Dialogue systems that draw on external knowledge and are built on large language models often produce fluent replies that the supplied evidence does not support.
  4. CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning (2022 · 95 citations)
    Open-domain conversational question answering (CQA) needs passage retrieval for questions that only make sense in light of earlier turns.

 Co-authors here

12 of 15 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 3,660 times (of the 141,840 papers whose bibliographies we read); 262 citing papers with a page here →.

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