“Chroma achieves sub-second end-to-end latency through an interleaved text-audio token schedule (1:2) that supports streaming generation, while maintaining high-quality personalized voice synthesis across multi-turn conversations.”

“In this tutorial, we build an advanced, multi-turn crescendo-style red-teaming harness using Garak to evaluate how large language models behave under gradual conversational pressure.”

“As conversations with generative AI become longer and more complex, they are no longer simple question-and-answer exchanges. They represent chains of thought, decisions, and context.”

“Incorporating contrasts spanning multiple turns is critical for building robust multi-turn RMs.”

“R-Debater achieves higher single-turn and multi-turn scores compared with strong LLM baselines, and human evaluation confirms its consistency and evidence use.”

“FIGR improves the base model by 13.12% on AIME 2025 and 11.00% on BeyondAIME, highlighting the effectiveness of figure-guided multimodal reasoning in enhancing the stability and reliability of complex reasoning.”

“MedKGI improves dialogue efficiency by 30% on average while maintaining state-of-the-art accuracy.”

“RSAgent achieves a zero-shot performance of 66.5% gIoU on ReasonSeg test, improving over Seg-Zero-7B by 9%, and reaches 81.5% cIoU on RefCOCOg, demonstrating state-of-the-art performance.”

“Online methods can achieve an average success rate of 45/19/77% with just a few thousand queries over three tasks where static methods from existing multi-turn conversation benchmarks find few or even no failure cases.”

“SLMs struggle to follow the required style when the instruction is placed in system messages rather than user messages, which contradicts the intended function of system prompts.”

“The distilled model matches the visual quality of full-step, bidirectional baselines with 20x less inference cost and latency.”

“ClinDEF effectively exposes critical clinical reasoning gaps in state-of-the-art LLMs, offering a more nuanced and clinically meaningful evaluation paradigm.”

“I'm @to_fmak. I've recently been developing applications using the Gemini API, so I've summarized the basic usage of Gemini's Python SDK as a memo.”

“TravelBench offers a practical and reproducible benchmark for advancing LLM agents in travel planning.”

“VideoZoomer invokes a temporal zoom tool to obtain high-frame-rate clips at autonomously chosen moments, thereby progressively gathering fine-grained evidence in a multi-turn interactive manner.”

“The article is from ArXiv, suggesting it's a research paper.”

“The research paper is hosted on ArXiv.”

“The paper focuses on advancing multi-turn reasoning for 'thinking with images'.”

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“The research focuses on multi-turn evaluation of spoken dialogue systems.”

“CogMem is a cognitive memory architecture for sustained multi-turn reasoning in Large Language Models.”

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“The article's core argument likely revolves around the use of behavioral guidance to mitigate risks associated with LLM agents in multi-turn conversations.”

“The study focuses on multi-turn conversations in the wild.”

“The research focuses on multi-turn adversarial attacks.”

“The research focuses on enhancing the proactive interaction of Video MLLMs.”

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“The article is based on a paper from ArXiv, which suggests it's a recent research publication.”

“The article is sourced from ArXiv, suggesting it's a peer-reviewed research paper.”

“The research focuses on building efficient world model reasoning in LLMs.”

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“The article's context revolves around the introduction of MindEval.”

“The article is based on a paper from ArXiv.”

“The context mentions that the paper focuses on multi-turn tool-integrated reasoning.”

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“Test AI agents in the real world with Collinear TraitMix and Together Evals: dynamic persona simulations, multi-turn dialogs, and LLM-as-judge scoring.”

“Kwin breaks down the full stack for voice agents—from the models and APIs to the critical orchestration layer that manages the complexities of multi-turn conversations.”

“The author is seeking feedback on the clunkiness of the tool calling implementation, specifically mentioning the challenges of mapping plain functions to JSON schemas without the benefit of reflection.”

“ART is a new open-source framework for training agents using reinforcement learning (RL). RL allows you to train an agent to perform better at any task whose outcome can be measured and quantified.”