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-…
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 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 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…
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 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…
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…
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 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…
Researchers Duy Dang Phu and Thìn Đặng Văn have developed an NLP framework combining relevance filtering, topic modeling, and LLM-assisted interpretation to analyze corporate strategic behavior in the…
Researchers at the University of Maryland found that the community size of early adopters and emoji semantics are positively correlated with the popularity of newly released emojis on Twitter. Analyzi…
Researchers at the Seventh Workshop on Natural Language Processing and Computational Social Science found that emojis, while rarely offensive alone, can acquire harmful meanings through symbolic assoc…
Researchers Alexandria Leto and Maria Leonor Pacheco introduced an unsupervised LLM-based method for conceptual metaphor discovery in political discourse, demonstrating its utility through a case stud…
Even frontier large language models such as GPT-5.2 and leading open-weight alternatives consistently underperform fine-tuned BERT on a challenging legal reasoning task, according to a study by Caroli…
A study by Joseph James presented at the Seventh Workshop on Natural Language Processing and Computational Social Science in July 2026 found that 16 Japanese-capable large language models showed subst…
USC Viterbi and USC Stevens researchers will present papers at ACL 2025 on using AI for suicide prevention and generating long-horizon web tasks. One study analyzed 270,000 suicide records with AI to …
Kakao Bank's Financial Tech Lab had four papers on financial AI safety accepted at major AI conferences in 2026, including research on detecting prompt injection attacks and an AI safety evaluation fr…
Researchers from KIT submitted a cross-lingual voice cloning system to the IWSLT 2026 track, building on FishAudio-S2-Pro with language tag prompting, reinforcement learning fine-tuning, and reference…
Researchers from an undisclosed institution introduced AlignAtt4LLM, the first application of the AlignAtt policy to decoder-only large language models for simultaneous speech translation at IWSLT 202…