multi-turn-dialogue

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4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src

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papersTODAY 04:00 UTC

CompCQR generates compositional queries for training-free conversational search

A new arXiv paper introduces CompCQR, a method that rewrites ambiguous, context-dependent user utterances into clearer retrieval queries for multi-turn conversational search. The approach composes queries without requiring task-specific training, aiming to bridge the gap between conversational phrasing and standard retrieval systems. The work targets information-seeking dialogue, where follow-up questions often lack the context needed for direct use as search queries.

conversational-search/information-retrieval/llm/training-free

papersTODAY 04:00 UTC

Benchmark tests entity extraction accuracy in multi-turn voice agent dialogues

Researchers released tau-Elicitation, a 200-task benchmark that measures how well voice agents capture specific entities such as names, addresses, identifiers, dates, and times across multi-turn conversations. The set spans ten entity types with controlled difficulty levels, aiming to pinpoint the exact turn where information capture breaks down. The authors argue that end-to-end evaluations hide these failure points, making targeted diagnosis difficult.

benchmarks/voice-agents/agents/speech