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cs.CL2025
Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models
Amartya Roy, Elamparithy M, Kripabandhu Ghosh +2
In context learning (ICL) underpins recent advances in large language models (LLMs), although its role and performance in causal reasoning remains unclear. Causal reasoning demands…
cs.LG2025
Competition is the key: A Game Theoretic Causal Discovery Approach
Amartya Roy, Souvik Chakraborty
Causal discovery remains a central challenge in machine learning, yet existing methods face a fundamental gap: algorithms like GES and GraN-DAG achieve strong empirical performance…
cs.LG2025
Guide: Generalized-Prior and Data Encoders for DAG Estimation
Amartya Roy, Devharish N, Shreya Ganguly +1
Modern causal discovery methods face critical limitations in scalability, computational efficiency, and adaptability to mixed data types, as evidenced by benchmarks on node scalabi…