每天自动聚合 AI 领域最新动态
On-policy training has emerged as a powerful post-training paradigm for improving the reasoning capabilities of large...
A common task in legal Information Retrieval (IR) is to find relevant legal sources from case-law collections. While ...
Weight-only quantization substantially reduces the storage of large language model (LLM) transformer blocks, but prac...
Self-consistency assumes the most frequent answer among sampled reasoning traces is the most reliable, but this can f...
Reasoning language models frequently overthink: generating extended chains of behaviors such as hedging, approach aba...
Efficient long-video understanding requires vision--language models (VLMs) to reason over a small number of frames se...
Humans recognize a musical passage even when it is shifted in time or transposed in pitch, indicating a notion of equ...
This paper offers a new interpretation of the Transformer during inference. Against the "stochastic parrot" view that...
Time series anomaly detection (TSAD) underpins applications in predictive maintenance, finance, and cloud computing, ...
Pre-pretraining language models (LMs) on symbolic data can accelerate and improve natural language acquisition. Howev...
Large language models (LLMs) are increasingly used to provide conversational practice for English-as-a-second-languag...
As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, under...