Abhinaba Basu

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Budget-Sensitive Discovery Scoring: A Formally Verified Framework for Evaluating AI-Guided Scientific Selection. CoRR Abhinaba Basu, Pavan Chakraborty
2026	J	`jnl`	Contextual StereoSet: Stress-Testing Bias Alignment Robustness in Large Language Models. CoRR Abhinaba Basu, Pavan Chakraborty
2026	J	`jnl`	Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting. CoRR Abhinaba Basu
2026	J	`jnl`	ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs. CoRR Abhinaba Basu, Pavan Chakraborty
2026	J	`jnl`	Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials. CoRR Abhinaba Basu, Pavan Chakraborty
2026	J	`jnl`	Structural Sensitivity in Compressed Transformers: Error Propagation, Lyapunov Stability, and Formally Verified Bounds. CoRR Abhinaba Basu
2026	J	`jnl`	The Coordinate System Problem in Persistent Structural Memory for Neural Architectures. CoRR Abhinaba Basu
2026	J	`jnl`	Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agents. CoRR Abhinaba Basu
2026	J	`jnl`	When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning. CoRR Abhinaba Basu, Pavan Chakraborty
2026	J	`jnl`	When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models. CoRR Abhinaba Basu
2026	J	`jnl`	When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making. CoRR Abhinaba Basu, Pavan Chakraborty
2026	J	`jnl`	Why Agent Caching Fails and How to Fix It: Structured Intent Canonicalization with Few-Shot Learning. CoRR Abhinaba Basu