Interactions coverage.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions

arXiv:2607.08774v1 Announce Type: new Abstract: Reliability in large language model (LLM) systems is typically framed as a function of model capability. We challenge this by demons…

A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions

Despite the success of knowledge distillation (KD) in Large Language Models (LLMs), the underlying mechanism behind its efficacy remains unclear. In this paper, we propose a unifie…

Florida: 1 Woman Dead After 3 Alligator Interactions Get Violent In Span Of Week

In the span of one week, a total of three people in Central Florida have fallen victim to alligator attacks, with one of the incidents resulting in a death.…

Bondi declined to answer questions about interactions with Trump about Epstein files

Former Attorney General Pam Bondi said then-Deputy Attorney General Todd Blanche handled the release of the DOJ's Epstein files.…

Turns out, this universal guilty pleasure is actually good for our health

Gossip plays a crucial social function, and it might even be good for our health. Here’s why.…

Trajectory, founded by ex-DeepMind, Apple, and OpenAI staff to train "continual learning" models on user interactions, raised a $15M seed at a $115M valuation (Maxwell Zeff/Wired)

Personalizing Embodied Multimodal Large Language Model Agents over Long-term User Interactions

Multimodal large language model (MLLM)-based embodied agents have shown strong potential for solving complex tasks in physical environments. However, personalized assistance requir…

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions

Large language models (LLMs) have evolved into interactive agents that collaborate with users in real-world tasks. Effective collaboration in such settings increasingly depends on …

EvoCode-Bench: Evaluating Coding Agents in Multi-Turn Iterative Interactions

Coding agents are increasingly used as iterative development partners, but most benchmarks still evaluate one specification followed by one final assessment. This leaves out a basi…

Would it be right to say that human interactions will be valued more as we approach singularity?

Expanding Agentic Capabilities: Multiple Bidirectional Async Tool Interactions During Live Conversations (Working on Codex support)

Mika Abdalla on Allie’s Season 1 Journey and Sweet Interactions With ‘Off Campus’ Fans

The 26-year-old unpacks all things season one, from Allie realizing what she wants as a character to getting to showcase a lot more of the cast than expected.…

AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions

Large Language Model (LLM) based agents have demonstrated proficiency in multi-step interactions with graphical user interfaces (GUIs). While most research focuses on improving sin…

Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook

Generative AI systems are increasingly deployed as interactive agents in online environments, such as a social network called Moltbook. In Moltbook, large-scale agentic AIs can pos…

Xi’s key interactions with US and Russian presidents

Does Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations

Improving the Theory of Mind (ToM) capability of Large Language Models (LLMs) is crucial for effective social interactions between these AI models and humans. However, the existing…

GRASP: Learning to Ground Social Reasoning in Multi-Person Non-Verbal Interactions

Understanding social interactions requires reasoning over subtle non-verbal cues, yet current multimodal large language models (MLLMs) often fail to identify who interacts with who…