Unlocking Lossless Speedups in LLMs via Discrete Diffusion
Large Language Models (LLMs) owe much of their success to next-token prediction (NTP), but their autoregressive (AR) ...
每天自动聚合 AI 领域最新动态
Large Language Models (LLMs) owe much of their success to next-token prediction (NTP), but their autoregressive (AR) ...
Audio-visual understanding remains challenging because models must jointly interpret spoken content, visual events, a...
Reasoning in large language models unfolds through diverse functional operations, such as problem formulation, goal d...
Video editing spans diverse editing paradigms, yet achieving high-quality instruction-guided and subject-guided editi...
Recent advances in automatic rigging now deliver animation-ready 3D assets at scale, yet generating the motion to dri...
The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculum for non-invasiv...
Striking a balance between helpfulness and safety remains a fundamental challenge in aligning large language models. ...
Vision-language models (VLMs) are expected to respond helpfully to appropriate requests while withholding compliance ...
Command-line coding agents (e.g., Claude Code, Gemini CLI) can already read and write files and sustain long sessions...
Benchmarks for the side effects an agent causes on the way to a goal already exist, but HarvestBench is the first to ...
Despite the remarkable prowess of Vision-Language Models (VLMs) in general multimodal tasks, they remain fundamentall...
Chilli (Capsicum annuum) is one of India's most economically significant crops, yet its productivity is persistently ...