--- title: "Who cites Janosch Haber — 65 papers of our library" description: "65 papers of the Elamur Research library cite the works of Janosch Haber, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/janosch-haber/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/janosch-haber/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Janosch Haber](https://md.research.elamur.ai/free/en/authors/janosch-haber/) / cited by # Who cites Janosch Haber 65 citations of their works from 65 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← Janosch Haber](https://md.research.elamur.ai/free/en/authors/janosch-haber/) 1. **[Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches](https://md.research.elamur.ai/free/en/papers/fried-2023-pragmatics-language-grounding-phenomena-tasks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Daniel Fried, Nicholas Tomlin, Jennifer Hu, et al.*2023 · 38 citations* 2. **[Continual Adaptation for Efficient Machine Communication](https://md.research.elamur.ai/free/en/papers/hawkins-2020-continual-adaptation-efficient-machine-communication/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.*2020 · 38 citations* 3. **[Draw Me a Flower: Processing and Grounding Abstraction in Natural Language](https://md.research.elamur.ai/free/en/papers/lachmy-2022-draw-me-flower-processing-grounding/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Royi Lachmy, Valentina Pyatkin, Avshalom Manevich, et al.*2022 · 21 citations* 4. **[An Annotated Corpus of Reference Resolution for Interpreting Common Grounding](https://md.research.elamur.ai/free/en/papers/udagawa-2019-annotated-corpus-reference-resolution-interpreting/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Takuma Udagawa, Akiko Aizawa*2019 · 14 citations* 5. **[Maintaining Common Ground in Dynamic Environments](https://md.research.elamur.ai/free/en/papers/udagawa-2021-maintaining-common-ground-dynamic-environments/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Takuma Udagawa, Akiko Aizawa*2021 · 13 citations* 6. [**Towards Pragmatic Production Strategies for Natural Language Generation Tasks**Mario Giulianelli*2022 · 12 citations*](https://md.research.elamur.ai/free/en/papers/giulianelli-2022-pragmatic-production-strategies-natural-language/) 7. [**Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs arXiv:2408.01417**Yilun Hua, Yoav Artzi*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/hua-2024-talk-less-interact-better-evaluating/) 8. **[The Role of Common Ground for Referential Expressions in Social Dialogues](https://md.research.elamur.ai/free/en/papers/kruijt-2022-role-common-ground-referential-expressions/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Jaap Kruijt, Piek Vossen*2022 · 3 citations* 9. **[LVLMs and Humans Ground Differently in Referential Communication](https://md.research.elamur.ai/free/en/papers/zeng-2026-lvlms-humans-ground-differently-referential/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peter Zeng, Weiling Li, Amie J. Paige, et al.*2026 · 1 citation* 10. **[Start Making Sense(s): A Developmental Probe of Attention Specialization Using Lexical Ambiguity](https://md.research.elamur.ai/free/en/papers/riviere-2026-start-making-sense-s-developmental/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Pamela D. Rivière, Sean Trott*2026 · 1 citation* 11. **[Building Common Ground in Dialogue: A Survey](https://md.research.elamur.ai/free/en/papers/anikina-2025-building-common-ground-dialogue-survey/) [LUHME Workshop](https://md.research.elamur.ai/free/en/venues/luhme/)**Tatiana Anikina, Alina Leippert, Simon Ostermann*2025 · 1 citation* 12. **[Automatic Analysis of Collaboration through Human Conversational Data Resources: A Review](https://md.research.elamur.ai/free/en/papers/yu-2026-automatic-analysis-collaboration-through-human/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yi Yu, Maria Boritchev, Chloé Clavel*2026* 13. **[Figurative, Polysemous, Conventional: Designing a Dataset of Regular Metaphor](https://md.research.elamur.ai/free/en/papers/temerko-2026-figurative-polysemous-conventional-designing-dataset/) [Workshop on Structured Linguistic Data and Evaluation (SLiDE)](https://md.research.elamur.ai/free/en/venues/slide/)**Anna Temerko, Pablo Gamallo, Marcos Garcia*2026* 14. **[PAIR: A Pilot Dataset for Dual Perspective-based Video-Grounded Dialogue and Reconciliation](https://md.research.elamur.ai/free/en/papers/watson-2026-pair-pilot-dataset-dual-perspective/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026* 15. **[Success and Cost Elicit Convention Formation for Efficient Communication](https://md.research.elamur.ai/free/en/papers/vaduguru-2026-success-cost-elicit-convention-formation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Saujas Vaduguru, Yilun Hua, Yoav Artzi, et al.*2026* 16. **[What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance](https://md.research.elamur.ai/free/en/papers/watson-2026-what-makes-good-query-measuring/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**William Watson, Nicole Cho, Sumitra Ganesh, et al.*2026* 49 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/janosch-haber/) — Janosch Haber