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4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems1 src1.3 Paper proposes evolving context parameterization for large language models1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems1 src1.3 Paper proposes evolving context parameterization for large language models1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions1 src
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dialogue-systems

topic4 events
papersTODAY 04:00 UTC

Paper Proposes Self-Play Method for Training AI Assistants When to Ask Clarifying Questions

A new arXiv preprint introduces a method that teaches AI assistants how to handle ambiguous or underspecified user requests. The approach uses collaborative self-play to learn a steerable policy that decides between answering directly, listing several possible interpretations, or asking the user for clarification. The goal is to improve how systems manage uncertainty in dialogue rather than guessing wrong.

papersTODAY 04:00 UTC

arXiv preprint links emotional grounding to task-oriented dialogue learning

A revised preprint on arXiv examines task-oriented dialogue systems, which help users complete goals through natural language. The authors argue that emotional factors shape learning in these systems, and that success depends not only on completing tasks but also on sustaining positive emotional exchanges and conveying information accurately.

papersTODAY 04:00 UTC

Bangla Sentence Function Classification Corpus and Benchmark Released

Researchers present a new annotated corpus for classifying sentence functions in Bangla, a resource previously lacking for the language. The work benchmarks several models on the task and adds interpretability analysis of their predictions. Such sentence-type identification supports dialogue systems, speech synthesis, and machine translation.

papersTODAY 04:00 UTC

Study uses voice activity projection to test visual turn-taking cues in face-to-face dialogue

Researchers examined whether visual information from face-to-face interaction improves prediction of conversational turn-taking, since most dialogue systems rely only on audio. The work applies voice activity projection to combine verbal and non-verbal signals. Results suggest visual cues can complement audio-based models of when speakers take turns.