HuggingFace
Duration Aware Scheduling for ASR Serving Under Workload Drift
Scheduling policies in large-scale Automatic Speech Recognition (ASR) serving pipelines play a key role in determinin...
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HuggingFace
The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation
The Frechet Inception Distance (FID) is the de facto arbiter of image generation, yet most papers report just a singl...
HuggingFace
The Data Manifold under the Microscope
A significant gap exists between theory and practice in deep learning. Generalization and approximation error bounds ...
HuggingFace
Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why
Patient contexts span hundreds of heterogeneous documents and thousands of structured data points, yet the document-l...
HuggingFace
LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI
AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, but this average c...
HuggingFace
ReSyn: A Generalized Recursive Regular Expression Synthesis Framework
Existing Programming-By-Example (PBE) systems often rely on simplified benchmarks that fail to capture the high struc...
HuggingFace
Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
Progress in legal AI increasingly depends on access to authoritative legal text at scale. Yet one of the most consequ...
HuggingFace
Context-Aware RL for Agentic and Multimodal LLMs
Large language models (LLMs) often fail when answering requires identifying a small but decisive piece of evidence wi...
HuggingFace
LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents
Policy-adherent tool-calling agents in customer-service domains must maintain task states across turns while calling ...
GitHub
[GitHub] pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration（⭐100863）
HuggingFace
EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning an...
HuggingFace
From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning
Reinforcement learning pipelines for Large Language Model (LLM) training often rely on manually redesigned environmen...