HuggingFace
Repo0: Design-Driven Zero-to-All Code Generation
Large language model agents have made substantial progress in code generation, yet most existing systems assume a pre...
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HuggingFace
SkillEvo: Self-Renewing Evolution Gradients from Multi-Turn Interaction Feedback
Agent Skills are today either hand-authored or produced in a single LLM generation pass, and consequently possess no ...
HuggingFace
FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving
Long-context modeling is a pivotal capability for Large Language Models, yet the quadratic complexity of attention re...
HuggingFace
Chain-of-Experience for Continual LLM Improvement
Humans continuously learn from experience, whereas conventional large language model (LLM) evaluations ignore the mod...
HuggingFace
SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?
Software increasingly functions as part of the scientific instrument itself, making failures in scientific code capab...
HuggingFace
Towards Quantifying Benchmark Optimization in ASR Models
Public benchmarks are important measures of Automatic Speech Recognition (ASR) model capabilities. However, by nature...
HuggingFace
Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners
Self-supervised learning (SSL) has driven substantial progress in audio representation learning, though existing meth...
HuggingFace
NARU: A Benchmark for NARrative Evolution and Cultural Nuance Understanding in Japanese Extreme Long Video
Long-form video understanding encompasses tasks that go beyond retrieving isolated events, including tracking an evol...
HuggingFace
Bounded Agents: Delegation Security for Multi-Agent AI Systems
LLM-based agents can act on behalf of a user to access cloud services, call tools, or invoke agents. At session start...
HuggingFace
LLMs Get Smarter from Targeted Synthetic Multilingual Data
Language-specific competency (LSC) is the phenomenon of a language model performing better or worse depending on the ...
HuggingFace
SPK: Eliciting Structured Prior Knowledge for Interpretable Out-of-Distribution Detection in Real-Time Object Detection
Object detectors often produce over-confident predictions for objects outside their training categories, leading to s...
HuggingFace
Towards Real-Time and Adaptable LiDAR Scene Completion
LiDAR scene completion is a key component of 3D perception in autonomous driving, where the scene must be completed i...