Abhinaba Basu

According to our database1, Abhinaba Basu authored at least 15 papers in 2026.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HubRouter: A Pluggable Sub-Quadratic Routing Primitive for Hybrid Sequence Models.
CoRR, April, 2026

Transactional Attention: Semantic Sponsorship for KV-Cache Retention.
CoRR, April, 2026

Accelerated Dopant Screening in Oxide Semiconductors via Multi-Fidelity Contextual Bandits and a Three-Tier DFT Validation Funnel.
CoRR, April, 2026

The Coordinate System Problem in Persistent Structural Memory for Neural Architectures.
CoRR, March, 2026

When AI Shows Its Work, Is It Actually Working? Step-Level Evaluation Reveals Frontier Language Models Frequently Bypass Their Own Reasoning.
CoRR, March, 2026

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models.
CoRR, March, 2026

Structural Sensitivity in Compressed Transformers: Error Propagation, Lyapunov Stability, and Formally Verified Bounds.
CoRR, March, 2026

ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs.
CoRR, March, 2026

When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making.
CoRR, March, 2026

Budget-Sensitive Discovery Scoring: A Formally Verified Framework for Evaluating AI-Guided Scientific Selection.
CoRR, March, 2026

Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials.
CoRR, March, 2026

Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agents.
CoRR, March, 2026

Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting.
CoRR, March, 2026

Why Agent Caching Fails and How to Fix It: Structured Intent Canonicalization with Few-Shot Learning.
CoRR, February, 2026

Contextual StereoSet: Stress-Testing Bias Alignment Robustness in Large Language Models.
CoRR, January, 2026


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