arXiv
VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences
In professional life sciences workflows, scientists routinely interpret visual artifacts (gel blots, microscopy image...
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arXiv
Primal Acceleration of Newton's Method
We develop a new direct accelerated Newton method for minimizing convex functions with Lipschitz continuous Hessian. ...
HuggingFace
Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs
Deploying vision-language models (VLMs) on mobile devices is challenging due to their significant memory and compute ...
HuggingFace
Beyond Correctness: Benchmarking and Aligning Response Behaviors in Hybrid-Thinking MLLMs
Hybrid-thinking multimodal large language models (MLLMs) allow a single model to alternate between deliberative think...
HuggingFace
InfinityEdit: Infinite Video Editing with a Lightweight Edit-Ignition Adapter
With large pretrained models, existing methods have effectively improved instruction-based video editing. However, mo...
HuggingFace
CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety Alignment
Improving the safety of large language models (LLMs) often comes at the expense of utility, as globally applied safet...
HuggingFace
Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence
LLMs have evolved from language generators to autonomous agents capable of complex, long-horizon tasks. This evolutio...
HuggingFace
Towards Faithful Simulation of Human Shopping Behavior
Simulating realistic user shopping behavior underpins offline evaluation and reinforcement learning in e-commerce sce...
HuggingFace
Hadith computational science in the age of large language models: a critical narrative review
We examine how hadith computational science is being reshaped by transformer models, retrieval-grounded pipelines, an...
HuggingFace
AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale
Agents learn to act through interaction with environments, yet the environments used for training are often manually ...
HuggingFace
OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs
Recent omni-modal large language models (Omni-LLMs) show great potential as real-time video assistants, which continu...
HuggingFace
Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts
Mixture-of-Experts (MoE) architectures significantly expand model capacity without a proportional increase in computa...