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cs.CL2026
UltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing
Xinlong Zhao, Dongsheng Liu, Hengyu Zhao +9
As available training data approaches its physical limit, gains from Scaling Laws have begun to diminish. Consequently, improving Large Language Models (LLMs) now depends less on d…
cs.CL2025
SurveyBench: Can LLM(-Agents) Write Academic Surveys that Align with Reader Needs?
Zhaojun Sun, Xuzhou Zhu, Xuanhe Zhou +6
Academic survey writing, which distills vast literature into a coherent and insightful narrative, remains a labor-intensive and intellectually demanding task. While recent approach…