most citedTACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

3 citations · 3 across the 3 of their papers we have counts for

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cs.CL2024

CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling

Taneesh Gupta, Shivam Shandilya, Xuchao Zhang +5

Reward modeling in large language models is susceptible to reward hacking, causing models to latch onto superficial features such as the tendency to generate lists or unnecessarily…

cs.CL2024★ 3 cited

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning

Shivam Shandilya, Menglin Xia, Supriyo Ghosh +4

The increasing prevalence of large language models (LLMs) such as GPT-4 in various applications has led to a surge in the size of prompts required for optimal performance, leading…