1 citations · 1 across the 4 of their papers we have counts for
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TAPS: Task Aware Proposal Distributions for Speculative Sampling
Mohamad Zbib, Mohamad Bazzi, Ammar Mohanna +2
Speculative decoding accelerates autoregressive generation by letting a lightweight draft model propose future tokens that a larger target model then verifies in parallel. In pract…
Train Long, Think Short: Curriculum Learning for Efficient Reasoning
Hasan Abed Al Kader Hammoud, Kumail Alhamoud, Abed Hammoud +3
Recent work on enhancing the reasoning abilities of large language models (LLMs) has introduced explicit length control as a means of constraining computational cost while preservi…
Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection
Harethah Abu Shairah, Hasan Abed Al Kader Hammoud, George Turkiyyah +1
Safety alignment in Large Language Models (LLMs) often involves mediating internal representations to refuse harmful requests. Recent research has demonstrated that these safety me…
Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think
Hasan Abed Al Kader Hammoud, Hani Itani, Bernard Ghanem
Large Language Models (LLMs) leverage step-by-step reasoning to solve complex problems. Standard evaluation practice involves generating a complete reasoning trace and assessing th…