activity
20232026
most citedHybrid CNN Bi-LSTM neural network for Hyperspectral image classification

4 citations · 4 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2026

Measuring and curing reasoning rigidity: from decorative chain-of-thought to genuine faithfulness

Abhinaba Basu, Pavan Chakraborty

Language models increasingly show their work by writing step-by-step reasoning before answering. But are these steps genuinely used, or is the answer rigid - fixed before reasoning…

cs.CL2026

When Names Change Verdicts: Intervention Consistency Reveals Systematic Bias in LLM Decision-Making

Abhinaba Basu, Pavan Chakraborty

Large language models (LLMs) are increasingly used for high-stakes decisions, yet their susceptibility to spurious features remains poorly characterized. We introduce ICE-Guard, a…

cond-mat.mtrl-sci2026

Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials

Abhinaba Basu, Pavan Chakraborty

Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We show that a single MLIP used as a stab…

cs.LG2026

Budget-Sensitive Discovery Scoring: A Formally Verified Framework for Evaluating AI-Guided Scientific Selection

Abhinaba Basu, Pavan Chakraborty

Scientific discovery increasingly relies on AI systems to select candidates for expensive experimental validation, yet no principled, budget-aware evaluation framework exists for c…

cs.CL2026

ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs

Abhinaba Basu, Pavan Chakraborty

Evaluating whether explanations faithfully reflect a model's reasoning remains an open problem. Existing benchmarks use single interventions without statistical testing, making it…

cs.CL2026

Contextual StereoSet: Stress-Testing Bias Alignment Robustness in Large Language Models

Abhinaba Basu, Pavan Chakraborty

A model that avoids stereotypes in a lab benchmark may not avoid them in deployment. We show that measured bias shifts dramatically when prompts mention different places, times, or…

cs.CV2025

Polyp detection in colonoscopy images using YOLOv11

Alok Ranjan Sahoo, Satya Sangram Sahoo, Pavan Chakraborty

Colorectal cancer (CRC) is one of the most commonly diagnosed cancers all over the world. It starts as a polyp in the inner lining of the colon. To prevent CRC, early polyp detecti…

cs.CV2024

Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation

Md Meraz, Md Afzal Ansari, Mohammed Javed +1

In recent years, the challenge of 3D shape analysis within point cloud data has gathered significant attention in computer vision. Addressing the complexities of effective 3D infor…

cs.RO2024

Inverse kinematics learning of a continuum manipulator using limited real time data

Alok Ranjan Sahoo, Pavan Chakraborty

Data driven control of a continuum manipulator requires a lot of data for training but generating sufficient amount of real time data is not cost efficient. Random actuation of the…

eess.IV2024★ 4 cited

Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification

Alok Ranjan Sahoo, Pavan Chakraborty

Hyper spectral images have drawn the attention of the researchers for its complexity to classify. It has nonlinear relation between the materials and the spectral information provi…

cs.CV2023

Guidance system for Visually Impaired Persons using Deep Learning and Optical flow

Shwetang Dubey, Alok Ranjan Sahoo, Pavan Chakraborty

Visually impaired persons find it difficult to know about their surroundings while walking on a road. Walking sticks used by them can only give them information about the obstacles…