Barkavi Sundararajan's PhD research, presented at the 1st Workshop for Young Researchers in Natural Language Generation in Hanoi, Vietnam, in October 2025, proposes two approaches to reduce hallucinat…
Kristyna Onderkova, a researcher presenting at the 1st Workshop for Young Researchers in Natural Language Generation (YNLG) in Hanoi, Vietnam, in October 2025, described her work on improving factual …
Nalin Kumar's position paper, presented at the 1st Workshop for Young Researchers in Natural Language Generation (YNLG) in Hanoi, Vietnam, in October 2025, proposes two efficient strategies for buildi…
A new study presented July 5 at the 64th Annual Meeting of the Association for Computational Linguistics found that AI agents with lower social status are more easily persuaded and more likely to comp…
Researchers Chit-Fung Lam and Elaine Uí Dhonnchadha presented the development of Cantonese and Irish treebanks within the Parallel Grammar (ParGram) Project at the Third Workshop on the Bridges and Ga…
Researchers Artem Saloev, Erin Pacquetet, and Nicolas Ballier found that the ABX experiment with Mimi's semantic token codebook fails to capture the mapping of semantic tokens to phone realisations, b…
Judith Sieker and Sina Zarrieß, in a position paper presented at the Third Workshop on the Bridges and Gaps between Formal and Computational Linguistics (BriGap-3) in Paris, France, in July 2026, argu…
A study by Yan Cong and Julia Rayz, presented at the Third Workshop on the Bridges and Gaps between Formal and Computational Linguistics (BriGap-3) in Paris, France, in July 2026, found that current v…
Researchers Maximilian Idahl and Zahra Ahmadi introduced OpenReviewer, an open-source system that generates critical peer reviews for machine learning and AI conference papers, at the 2025 NAACL confe…
Fabrice Niyigaba ’27 led a study creating KinyaProp, the first digital tool for detecting online propaganda in Kinyarwanda, the national language of Rwanda’s 15 million people, and possibly the first …
Researchers Anna Manaseryan and Casey Kennington presented an online reinforcement learning framework at the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue that adapts rob…
Researchers from Sorbonne Université and CNRS have developed the first reinforcement learning-based dialogue manager for simulated group motivational interviewing, using a discrete Soft-Actor-Critic p…
A survey by Michelle Elizabeth, Gwénolé Lecorvé, Lina M. Rojas Barahona, and Magalie Ochs, presented at the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) in Aug…
Researchers at the Association for Computational Linguistics presented a conceptual framework for analyzing dialogue in collaborative problem-solving contexts, with a focus on human-AI and multi-agent…
A study of 49 programmers interacting with GitHub Copilot to assess 148 HIPAA-derived Non-Functional Requirements against the iTrust codebase found that developers tend to agree with LLM assessments, …
Researchers Henry Gao and Jinho D. Choi have developed a task-oriented dialogue system that uses large language models with in-context prompting and unstructured conversational logs, eliminating the n…
Yash Raj Singh presents CrossOracle, a production-deployed spoken dialogue system for real-time Hinglish voice interaction across eleven Expert Persona identities, achieving a mean TTS Real-Time Facto…
Researchers from the Association for Computational Linguistics have developed a dialogue system for second language learning that dynamically adjusts utterance difficulty based on the learner's topic-…
A study presented at the 2026 Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) finds that large language models used as role-playing agents exhibit a trade-off between …
Researchers from an unnamed institution presented ArgAssist, an LLM-based system for structured argumentative discourse generation in insurance disputes, at the 27th Annual Meeting of the Special Inte…