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cs.CL2026
PROMPT2BOX: Uncovering Entailment Structure among LLM Prompts
Neeladri Bhuiya, Shib Sankar Dasgupta, Andrew McCallum +1
To discover the weaknesses of LLMs, researchers often embed prompts into a vector space and cluster them to extract insightful patterns. However, vector embeddings primarily captur…
cs.CL2024
HITgram: A Platform for Experimenting with n-gram Language Models
Shibaranjani Dasgupta, Chandan Maity, Somdip Mukherjee +3
Large language models (LLMs) are powerful but resource intensive, limiting accessibility. HITgram addresses this gap by offering a lightweight platform for n-gram model experimenta…