Publications
Research in NLP, LLM systems, computer vision, and reinforcement learning.
Published
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The Energy of Falsehood: Detecting Hallucinations via Diffusion Model LikelihoodsFEVER Workshop, EACL 2026 · Published - ACL Anthology
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Faithful Theory-of-Mind Distillation: Why Preference-Based Refinement Improves ImitationTheory-of-Mind Workshop (ToM4AI), AAAI 2026 · Published
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Enhancing Lymphoma Detection Using Multi-Layer Hybrid Neural Networks16th ICCCNT, IIT Indore (2025) · Oral presentation
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Real-Time QUIC Traffic Classification Using LightGBM with SHAP + LIME Explainability16th ICCCNT, IIT Indore (2025)
Preprints
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RAMP: Reinforcement Adaptive Mixed-Precision Quantization for Efficient On-Device LLM InferencearXiv preprint (target: ICML) · Preprint on arXiv (2603.17891), targeting ICML
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CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL GenerationarXiv preprint (+ released datasets) · Preprint on arXiv; paper + 2 datasets public
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StreamServe: Adaptive Speculative Flows for Low-Latency Disaggregated LLM ServingarXiv preprint · Preprint on arXiv (2604.09562)
Under review
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When AI-Discovered Scaling Laws Don't Always Transfer: A Calibration Case Study Across Open Model FamiliesEMNLP 2026 (under review) · Under review - decision Aug 2026
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Implicit World Models in Vision-Language-Action Policies and Why They Don't Stop the Robot from Doing the Wrong ThingCoRL 2026 (under review) · Under review - decision ~Sept 2026
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D-CLS: Training-Free Logit Suppression for Object Hallucination Mitigation in Vision-Language ModelsUnder journal review · Under journal review
Earlier work
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Hyperspectral Image Classification with a Hybrid Deep ModelIIT-BHU research internship (unpublished) · Internship result (~91.9% accuracy); unpublished
Full list on Google Scholar.