3 papers
cs.CL2025
Latent Traits and Cross-Task Transfer: Deconstructing Dataset Interactions in LLM Fine-tuning
Shambhavi Krishna, Atharva Naik, Chaitali Agarwal +3
Large language models are increasingly deployed across diverse applications. This often includes tasks LLMs have not encountered during training. This implies that enumerating and…
cs.AI2025
PAFFA: Premeditated Actions For Fast Agents
Shambhavi Krishna, Zheng Chen, Yuan Ling +4
Modern AI assistants have made significant progress in natural language understanding and tool-use, with emerging efforts to interact with Web interfaces. However, current approach…
cs.LG2024
Solving the Inverse Alignment Problem for Efficient RLHF
Shambhavi Krishna, Aishwarya Sahoo
Collecting high-quality preference datasets for reinforcement learning from human feedback (RLHF) is resource-intensive and challenging. As a result, researchers often train reward…