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cs.CL2025
EMAFusion: A Self-Optimizing System for Seamless LLM Selection and Integration
Soham Shah, Kumar Shridhar, Surojit Chatterjee +1
While recent advances in large language models (LLMs) have significantly enhanced performance across diverse natural language tasks, the high computational and financial costs asso…
cs.CL2025
UNDO: Understanding Distillation as Optimization
Kushal Jain, Piyushi Goyal, Kumar Shridhar
Knowledge distillation has emerged as an effective strategy for compressing large language models' (LLMs) knowledge into smaller, more efficient student models. However, standard o…
cs.CL2025
Beyond Pattern Recognition: Probing Mental Representations of LMs
Moritz Miller, Kumar Shridhar
Language Models (LMs) have demonstrated impressive capabilities in solving complex reasoning tasks, particularly when prompted to generate intermediate explanations. However, it re…