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...
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The Frechet Inception Distance (FID) is the de facto arbiter of image generation, yet most papers report just a singl...
A significant gap exists between theory and practice in deep learning. Generalization and approximation error bounds ...
Patient contexts span hundreds of heterogeneous documents and thousands of structured data points, yet the document-l...
AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, but this average c...
Existing Programming-By-Example (PBE) systems often rely on simplified benchmarks that fail to capture the high struc...
Progress in legal AI increasingly depends on access to authoritative legal text at scale. Yet one of the most consequ...
Large language models (LLMs) often fail when answering requires identifying a small but decisive piece of evidence wi...
Policy-adherent tool-calling agents in customer-service domains must maintain task states across turns while calling ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration(⭐100863)
Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning an...
Reinforcement learning pipelines for Large Language Model (LLM) training often rely on manually redesigned environmen...
Turkish is agglutinative: meaning is carried by morphemes, yet the subword tokenizers that drive modern language mode...