9 citations · 12 across the 4 of their papers we have counts for
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cs.CL2024★ 3 cited
Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
Jeffrey Cheng, Benjamin Van Durme
Chain-of-thought (CoT) decoding enables language models to improve reasoning performance at the cost of high generation latency in decoding. Recent proposals have explored variants…
cs.CL2024★ 9 cited
Dated Data: Tracing Knowledge Cutoffs in Large Language Models
Jeffrey Cheng, Marc Marone, Orion Weller +3
Released Large Language Models (LLMs) are often paired with a claimed knowledge cutoff date, or the dates at which training data was gathered. Such information is crucial for appli…