9 citations · 16 across the 9 of their papers we have counts for
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cs.CL2025★ 5 cited
The Few-shot Dilemma: Over-prompting Large Language Models
Yongjian Tang, Doruk Tuncel, Christian Koerner +1
Over-prompting, a phenomenon where excessive examples in prompts lead to diminished performance in Large Language Models (LLMs), challenges the conventional wisdom about in-context…
cs.LG2025
Is Q-learning an Ill-posed Problem?
Philipp Wissmann, Daniel Hein, Steffen Udluft +1
This paper investigates the instability of Q-learning in continuous environments, a challenge frequently encountered by practitioners. Traditionally, this instability is attributed…