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Category: New Releases

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Chai Discovery Team Releases Chai-2: AI Model Achieves 16% Hit Rate in De Novo Antibody Design
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Chai Discovery Team Releases Chai-2: AI Model Achieves 16% Hit Rate in De Novo Antibody Design

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TLDR: Chai Discovery Team introduces Chai-2, a multimodal AI model that enables zero-shot de novo antibody design. Achieving a 16% […]

AbstRaL: Teaching LLMs Abstract Reasoning via Reinforcement to Boost Robustness on GSM Benchmarks
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AbstRaL: Teaching LLMs Abstract Reasoning via Reinforcement to Boost Robustness on GSM Benchmarks

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Recent research indicates that LLMs, particularly smaller ones, frequently struggle with robust reasoning. They tend to perform well on familiar […]

Kyutai Releases 2B Parameter Streaming Text-to-Speech TTS with 220ms Latency and 2.5M Hours of Training
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Kyutai Releases 2B Parameter Streaming Text-to-Speech TTS with 220ms Latency and 2.5M Hours of Training

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Kyutai, an open AI research lab, has released a groundbreaking streaming Text-to-Speech (TTS) model with ~2 billion parameters. Designed for […]

Crome: Google DeepMind’s Causal Framework for Robust Reward Modeling in LLM Alignment
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Crome: Google DeepMind’s Causal Framework for Robust Reward Modeling in LLM Alignment

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Reward models are fundamental components for aligning LLMs with human feedback, yet they face the challenge of reward hacking issues. […]

DeepSeek R1T2 Chimera: 200% Faster Than R1-0528 With Improved Reasoning and Compact Output
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DeepSeek R1T2 Chimera: 200% Faster Than R1-0528 With Improved Reasoning and Compact Output

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TNG Technology Consulting has unveiled DeepSeek-TNG R1T2 Chimera, a new Assembly-of-Experts (AoE) model that blends intelligence and speed through an […]

Shanghai Jiao Tong Researchers Propose OctoThinker for Reinforcement Learning-Scalable LLM Development
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Shanghai Jiao Tong Researchers Propose OctoThinker for Reinforcement Learning-Scalable LLM Development

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Introduction: Reinforcement Learning Progress through Chain-of-Thought Prompting LLMs have shown excellent progress in complex reasoning tasks through CoT prompting combined […]

ReasonFlux-PRM: A Trajectory-Aware Reward Model Enhancing Chain-of-Thought Reasoning in LLMs
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ReasonFlux-PRM: A Trajectory-Aware Reward Model Enhancing Chain-of-Thought Reasoning in LLMs

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Understanding the Role of Chain-of-Thought in LLMs Large language models are increasingly being used to solve complex tasks such as […]

Baidu Open Sources ERNIE 4.5: LLM Series Scaling from 0.3B to 424B Parameters
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Baidu Open Sources ERNIE 4.5: LLM Series Scaling from 0.3B to 424B Parameters

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Baidu has officially open-sourced its latest ERNIE 4.5 series, a powerful family of foundation models designed for enhanced language understanding, […]

UC San Diego Researchers Introduced Dex1B: A Billion-Scale Dataset for Dexterous Hand Manipulation in Robotics
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UC San Diego Researchers Introduced Dex1B: A Billion-Scale Dataset for Dexterous Hand Manipulation in Robotics

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Challenges in Dexterous Hand Manipulation Data Collection Creating large-scale data for dexterous hand manipulation remains a major challenge in robotics. […]

Tencent Open Sources Hunyuan-A13B: A 13B Active Parameter MoE Model with Dual-Mode Reasoning and 256K Context
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Tencent Open Sources Hunyuan-A13B: A 13B Active Parameter MoE Model with Dual-Mode Reasoning and 256K Context

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Tencent’s Hunyuan team has introduced Hunyuan-A13B, a new open-source large language model built on a sparse Mixture-of-Experts (MoE) architecture. While […]

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