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Google announced Gmail Live, a conversational AI feature powered by Gemini that lets users ask natural language questions about their inbox instead of using traditional search. The feature was introduced at Google I/O and aims to make finding information in emails easier.
ThoughtTrace introduces a large-scale dataset pairing real-world multi-turn human-AI conversations with users' self-reported thoughts, enabling improved user behavior prediction and personalized assistant training through thought-guided rewrites.
PRISM is a closed-loop framework that treats prompt engineering as a continuous reliability problem for enterprise conversational AI. It automates test generation, simulation, evaluation, and repair, achieving 99% reliability and reducing authoring time from days to minutes.
Vision Agents is an open-source Python framework for building multimodal AI agents that process video and audio in real time. It enables conversational agents to adapt their voice based on facial expressions and gaze using MediaPipe.
The author shares how his 80-year-old father uses Google's Gemini AI daily for calendar reminders, and highlights broader AI benefits for seniors, families, and people with disabilities, countering the narrative that AI only helps big business.
Introduces Inquisitive Conversational Agents (ICAs) for proactive information extraction in legal dialogue, proposing a Dual Hierarchical Reinforcement Learning framework that learns when and how to ask probing questions, evaluated on U.S. Supreme Court oral arguments.
This paper proposes a lightweight framework using sticky factorial HDP-HMMs to model conversational emotion as latent regimes from multimodal valence-arousal trajectories, aiming for interpretable and computationally efficient emotional state tracking.
This paper introduces CLIPR, a framework that learns transferable latent user preferences from minimal conversational input to improve human-aligned decision making in LLMs.
Oboe is a new AI-powered learning tool that uses guided conversations and real-time adjustments to help users learn effectively, in contrast to standard LLMs.
PreScam is a benchmark for modeling scam progression in multi-turn conversations, built from real-world scam reports. It includes tasks like real-time termination prediction and scammer action prediction, finding that supervised encoders outperform zero-shot LLMs.
The article highlights a research update describing an interaction model capable of tracking cognitive states like thinking, yielding, and self-correction during storytelling without a built-in dialogue management system.
The author developed a portable user preference profile system that integrates with ElevenLabs and Pipecat agents, allowing voice assistants to remember user styles and interests across different platforms to skip redundant onboarding.
Skopx is a conversational AI analytics platform that lets users ask business questions in plain English, automatically generating insights from connected data sources without SQL. It provides transparent reasoning, role-based access, and integrates with existing tools.
OpenAI has launched three new real-time audio models to enable continuous, multitasking voice interactions that prioritize long-context reasoning, live translation, and seamless tool use.
PersonaKit is an open-source web platform designed for rapid prototyping and user testing of diverse personas in full-duplex dialogue systems. It allows researchers to configure persona-specific turn-taking behaviors via JSON and conduct A/B surveys to evaluate sociolinguistic interactions.
Lyzr Cognis introduces a unified, open-source memory system for conversational AI that fuses BM25 and Matryoshka vector search with version-aware ingestion, achieving SOTA on LoCoMo and LongMemEval benchmarks.
Study shows GPT and Claude exhibit distinct, unreliable repair behaviors in multi-turn math dialogues, with some models resisting correction and others over-correcting.
This position paper argues that audio misinformation on platforms like podcasts and WhatsApp voice notes is structurally different from text-based misinformation, carrying unique persuasive properties through prosody and conversational dynamics that existing fact-checking pipelines fail to address. The authors call for a rethinking of verification pipelines tailored to the spoken and conversational nature of audio media.
A developer built a V2 AI chat assistant that autonomously manages their direct messages, featuring web search, image reading, voice note transcription, GIF sending, memory of past conversations, and automatic follow-ups. The tool has processed ~500k tokens across ~500 messages, raising questions about authentic social interaction.
MoshiRAG combines a compact full-duplex speech language model with asynchronous retrieval-augmented generation to improve factuality while maintaining real-time interactivity. The approach leverages natural temporal gaps in conversation to retrieve external knowledge without disrupting the natural flow of dialogue.