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cs.CL2026
ResonatorLM: Causal Resonant Field Mixing for Efficient Long-Context Language Modeling
Archie Chaudhury
Contemporary language models are dominated by the transformer architecture, which leverages self-attention mechanisms to enable more efficient, parallelized training across a wide…
cs.CL2026
The Hypocrisy Gap: Quantifying Divergence Between Internal Belief and Chain-of-Thought Explanation via Sparse Autoencoders
Shikhar Shiromani, Archie Chaudhury, Sri Pranav Kunda
Large Language Models (LLMs) frequently exhibit unfaithful behavior, producing a final answer that differs significantly from their internal chain of thought (CoT) reasoning in ord…
cs.CL2025★ 1 cited
Beyond Next Word Prediction: Developing Comprehensive Evaluation Frameworks for measuring LLM performance on real world applications
Vishakha Agrawal, Archie Chaudhury, Shreya Agrawal
While Large Language Models (LLMs) are fundamentally next-token prediction systems, their practical applications extend far beyond this basic function. From natural language proces…