6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning
Ho-Lam Chung, Teng-Yun Hsiao, Hsiao-Ying Huang +4
Test-Time Scaling (TTS) improves the reasoning performance of Large Language Models (LLMs) by allocating additional compute during inference. We conduct a structured survey of TTS…
cs.CL2024★ 6 cited
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents
Corby Rosset, Ho-Lam Chung, Guanghui Qin +5
Existing question answering (QA) datasets are no longer challenging to most powerful Large Language Models (LLMs). Traditional QA benchmarks like TriviaQA, NaturalQuestions, ELI5 a…