Michael Glass
Michael Glass has 3 papers in our library, in 2003–2026, most of them on Speech act theory, Dialogue systems, Code & programming languages; often with Alfio Gliozzo, Barbara Di Eugenio, Kristian J Hammond.
OpenAlex · ORCID · h-index 12 · 54 works · 963 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 92 times in our library · ⭐ Paper Stars ranking: #5651
Affiliations
Fields, topics and concepts
📚 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 worksInformation Systems · 1 work
🧭 Topics 5Research subjects and languages the work is about.Information retrieval & search · 1 workDialogue systems · 1 workSpeech act theory · 1 workCode & programming languages · 1 workSemantic parsing & meaning representation · 1 work
Works by year
2020s
2000s
Papers
- Re2G: Retrieve, Rerank, Generate (2022 · 184 citations)
Retrieval-augmented generators such as RAG and REALM let a model draw on a large passage corpus instead of storing all its knowledge in parameters. - Latent Semantic Analysis for Dialogue Act Classification (2003 · 20 citations)
The paper asks whether Latent Semantic Analysis (LSA), a method that works only from word co-occurrence, can serve as a dialogue act classifier, and whether adding non-lexical information improves it. - Mixed-Policy GRPO for Text-to-SQL with Off-Policy Data Generation (2026)
The paper targets a known weakness of GRPO-based reinforcement learning for text-to-SQL. Because GRPO trains only on samples from the model's current policy, it tends to reinforce reasoning the model already has instead of teaching new strategies. The authors bring mixed-policy GRPO, previously studied mainly for…
Co-authors here
Venues
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) ×2: NAACL 2022, NAACL 2003
- Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era: Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026
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