Compaction beats full transcript in memory
Compaction scores 71.4 percent vs 64.6 percent with 34 percent fewer tokens on LoCoMo.
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Compaction scores 71.4 percent vs 64.6 percent with 34 percent fewer tokens on LoCoMo.
On 540 messages from 90 cases, retrieval lifted concern-category accuracy from 54.1% to 59.3%.
The argument ties the genre to instruction fine-tuning, system prompts, special tokens and role-based turn-taking.
In an enriched sample, 71.1% of legal-content chats sought personalized or practical guidance; annotations are public.
RealCompanion benchmarks whether agents truly use months of real companion chats to understand a person.
REALM generates reactive listener facial motion with coarse trajectories plus stochastic expression residuals, including Ameca deployment.
Researchers present PUBG Ally, a voice-enabled embodied teammate trained on nearly 39,000 live PUBG sessions.

YouTube Music is adding conversational Ask Music and an AI podcast discovery guide.
Gricea packages conversational-AI studies as reusable artifacts and shows most papers omit replication details.
Gricea packages conversational AI studies as runnable, shareable research artifacts, replicating 93% of eligible CUI 2026 paper configurations.
Duplex Cue evaluation shows PersonaPlex full-duplex agents adapt in-turn to listener contributions in only 34.8% of collaborative cases versus 68.2% for humans.
MP-Bench is the first benchmark for voice agents in multiparty conversations, finding real-time agents near chance on turn-taking.
Researchers release Explainability Assistant, an open-source conversational XAI tool using LLM function calling, lifting intent-parsing accuracy from 76.8% to 94%.
Researchers propose Self-Listening, a full-duplex speech approach feeding realized model speech back as input to improve interruption recovery.
A new benchmark shows LLMs reach 68.3-93% accuracy propagating local revisions across conversationally generated artifacts, with parallel-sample selection most cost-effective.
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