4 accepted papers
Large language models increasingly rely on long chains of thought to improve accuracy, yet such gains come with substantial inference-time costs. We revisit token-efficient post-training and argue that existing sequence-level reward-shaping methods offer limited control over how reasoning effort is …
Chain-of-Thought (CoT) enhances the performance of Large Language Models (LLMs) on reasoning tasks by encouraging step-by-step solutions. However, the verbosity of CoT reasoning hinders its mass deployment in efficiency-critical applications. Recently, implicit CoT approaches have emerged, which enc…
Primary acquired nasolacrimal duct obstruction (PANDO) is the commonest cause of obstructive tearing and can lead to infections including dacryocystitis, cellulitis and postoperative endophthalmitis. External or endoscopic dacryocystorhinostomy (DCR) is the current standard treatment of PANDO. Howev
We present M3P, a Multitask Multilingual Multimodal Pre-trained model that combines multilingual pre-training and multimodal pre-training into a unified framework via multitask pre-training. Our goal is to learn universal representations that can map objects occurred in different modalities or texts…