Self-supervised speech models encode rich phonetic information, but it remains unclear how to transform this information into interpretable metrics for second-language (L2) pronunciation assessment in spontaneous speech. We propose a native-reference coordinate geometry in which phone-class averages from native speech...
This work presents TEMPS (Temporal Embedding Model for Precise Search), a modular temporal branch that attaches to a frozen semantic retriever and trains on that signal, and introduces Temporal Textual Similarity (TTS), a task that measures how well two anchored texts align in time, independent of their topical similar...
Mourad Hassani, Julien Romero, Amel Bouzeghoub et al.· 0 citations
Self-Conditioning is proposed, an unsupervised information-theoretic estimator that compares the likelihood of a review under its production context with its likelihood when that context is augmented with hints extracted from the review itself, and how that context is augmented with hints extracted from the review itse...
Matthieu Dubois, Pablo Piantanida, François Yvon· 0 citations
We investigate whether state-of-the-art large language models (LLMs) generate feedback that reflects the pedagogical practices of expert teachers in terms of feedback focus and adaptivity. Previous evaluation efforts have examined feedback characteristics, its impact on learning, and its target, yet the focus of feedba...
Effective summarization of interrogative dialogues is a critical task in forensic and investigative settings, requiring high factual accuracy, coherence, and attribute-specific relevance. In this work, we introduce CASPER, a novel Chain-of-Thought Attribute-Specific Prompting for Evaluative Summarization framework that...
Results show that selective anti-interference is an effective objective-level signal for robust context use and identifies locally sufficient tokens and sharply reduces prefix sensitivity on gate-selected suffix tokens.
Jin-Chang Zhu, Hao-Lan He, Yi-Cheng Ding et al.· 0 citations
It is shown that standard single-layer defenses each fail on their own and can even backfire, and called on the community to move beyond per-model alignment and toward composite safety mechanisms before multi-agent LLM systems are deployed at scale.
Zong-Hao Ying, Jia-Qi Yan, Hui-Ze Luo et al.· 0 citations
This work examined AI-related discourse on r/teenagers from January 2023 to July 2026 using validated keyword-based retrieval and a human-in-the-loop, LLM-assisted thematic analysis to position adolescent AI use not simply as technology adoption, but as an emerging negotiation over AI's place and boundaries in everyday...
In statutory question answering, every claim must be traceable to evidence, not merely relevant, since unverifiable labour-rights answers carry serious legal consequences. Current systems fall short: single-pass RAG cannot detect insufficient evidence, while multi-agent legal-debate systems treat grounding as a prompti...
Fatema Tuj Johora Faria, Mukaffi Bin Moin, Jubayer Al Mahmud et al.· 0 citations
A lightweight hierarchical attribution model is trained that predicts safety violations and attributes them to contributing user turns and token spans and preserves low false positive rates on benign conversations with high-risk vocabulary.
Srinivasan Subramanian, Kazi Aminul Islam, Md Abdullah Al Hafiz Khan· 0 citations
DeBERTa-based and T5-based models that rank HTML elements by their relevance to the task and a zero-shot ColBERT-based retriever that is able to retrieve the ground-truth element with a recall of 0.52 on Mind2Web and 0.47 on WebArena are developed.
Safety alignment in large language models is trained primarily in English, and recent work reports that the underlying harmfulness representation survives translation: English-trained probes separate harmful from harmless prompts almost as well in low-resource languages as in English. This has been taken as evidence th...
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
