Trending Research
FastVLM: Efficient Vision Encoding for Vision Language Models
apple/ml-fastvlm
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At different operational resolutions, the vision encoder of a VLM can be optimized along two axes: reducing encoding latency and minimizing the number of visual tokens passed to the LLM, thereby lowering overall latency.
BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Building on our innovative model design, training recipe, and datasets, we develop BLIP3-o, a suite of state-of-the-art unified multimodal models.
MASS: Multi-Agent Simulation Scaling for Portfolio Construction
LLM-based multi-agent has gained significant attention for their potential in simulation and enhancing performance.
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
LeapLabTHU/Absolute-Zero-Reasoner
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Reinforcement learning with verifiable rewards (RLVR) has shown promise in enhancing the reasoning capabilities of large language models by learning directly from outcome-based rewards.
HealthBench: Evaluating Large Language Models Towards Improved Human Health
We present HealthBench, an open-source benchmark measuring the performance and safety of large language models in healthcare.
Continuous Thought Machines
SakanaAI/continuous-thought-machines
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The CTM has two core innovations: (1) neuron-level temporal processing, where each neuron uses unique weight parameters to process a history of incoming signals; and (2) neural synchronization employed as a latent representation.
Spherical Channels for Modeling Atomic Interactions
We propose the Spherical Channel Network (SCN) to model atomic energies and forces.
Parallel Scaling Law for Language Models
qwenlm/parscale
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We apply $P$ diverse and learnable transformations to the input, execute forward passes of the model in parallel, and dynamically aggregate the $P$ outputs.
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
Specifically, we introduce a lightweight Multiple Cross-modal Token Prediction (MCTP) module that efficiently generates multiple audio tokens within a single model forward pass, which not only accelerates the inference but also significantly reduces the latency for generating the first audio in streaming scenarios.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
Large Language Models (LLMs) have demonstrated remarkable prowess in generating contextually coherent responses, yet their fixed context windows pose fundamental challenges for maintaining consistency over prolonged multi-session dialogues.
