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…
Priscilla Adenuga's paper, presented at the Second International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS) in June 2026 in Alicante, Spain, arg…
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…
Team Hope's ResNet34 model, fine-tuned with ImageNet pretrained weights for 25 epochs using the Adam optimizer and a learning rate of 1e-4, achieved 81% accuracy on the NakbaArchiveClassifier Shared T…
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 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…
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 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 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 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 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 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…
Researchers from multiple institutions, including Swarnadeep Bhar and Nicholas Asher, introduced COCORELI, a modular architecture that enforces missing information as a precondition for action, blocki…
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 study by Miriam Wanner, Sophia Hager, and Anjalie Field presented at the 2026 NLP+CSS workshop found that local news stations acquired by Sinclair Broadcast Group increase coverage of national news …
A study by Cristina J. Perez, Michael P. Vasquez Jr, Philippe Giabbanelli, and Patrick Y. Wu found that large language models (LLMs) have a mean absolute error of 23 percentage points when simulating …
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 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…