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ORCIDYash Sinha
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2020 – today
- 2026
[j4]Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa:
Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. 2026 (2026)- [j3]Yash Sinha, Murari Mandal
, Mohan Kankanhalli:
Distill to Delete: Unlearning in Graph Networks With Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 37(1): 428-437 (2026) - [c8]Yash Sinha, Vedant Singh, Tushar Swami, SK Hithasree, Nagalakshmi SR:
XGBoost-Enhanced Recurrent Hybrid Models for Wearable Inertial Navigation in GNSS-Denied Environments. ISDFS 2026: 1-6 - [i16]Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Arjun Neekhra, Yash Sinha, Murari Mandal, Vinay Chamola, Dhruv Kumar:
The Compliance Paradox: Semantic-Instruction Decoupling in Automated Academic Code Evaluation. CoRR abs/2601.21360 (2026) - [i15]Gaurish Trivedi, Alakh Sharma, Kartikey Singh Bhandari, Yash Sinha, Pratik Narang, Dhruv Kumar, Jagat Sesh Challa:
Trust Regions Sell, But Who's Buying? Overlap Geometry as an Alternative Trust Region for Policy Optimization. CoRR abs/2602.06627 (2026) - [i14]Parth Patil, Dhruv Kumar, Yash Sinha, Murari Mandal:
Beyond Accuracy: Diagnosing Algebraic Reasoning Failures in LLMs Across Nine Complexity Dimensions. CoRR abs/2604.06799 (2026) - [i13]Atharva Gupta, Dhruv Kumar, Yash Sinha:
BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection. CoRR abs/2604.11121 (2026) - [i12]Vedant Jawandhia, Yash Sinha, Murari Mandal, Ankan Pal, Dhruv Kumar:
Measuring Representation Robustness in Large Language Models for Geometry. CoRR abs/2604.16421 (2026) - [i11]Soham Roy, Sarthakbrata Halder, Arya Bharaty, Vaibhav Bhaskar, Yash Sinha, Dhruv Kumar, Srikant Panda, Murari Mandal:
"I Strongly Suspect This Website Is a Scam": Benchmarking PII Leakage and Detection without Defense in Autonomous Web Agents. CoRR abs/2606.00497 (2026) - [i10]Vedant Jawandhia, Daksh Ahuja, Ghufran Alam Siddiqui, Prashant Trivedi, Yash Sinha, Pratik Narang:
PURGE: Projected Unlearning via Retain-Guided Erasure. CoRR abs/2606.03808 (2026) - [i9]Sasank Tumpati, Devansh Agarwal, Ayush Kedia, Arjun Neekhra, Murari Mandal, Krishna Garg, Yash Sinha, Suman Gupta, Dhruv Kumar:
FinBalance: A Multi-Document Accounting Reconciliation Benchmark. CoRR abs/2606.15949 (2026) - [i8]Shubh Chapra, Dhruv Kumar, Murari Mandal, Yash Sinha:
The Complexity Ceiling Benchmark: A Multi-Domain Evaluation of Sequential Reasoning Under Depth Scaling. CoRR abs/2606.29278 (2026) - 2025
- [j2]Yash Sinha, Murari Mandal, Mohan S. Kankanhalli:
UnSTAR: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs. Trans. Mach. Learn. Res. 2025 (2025) - [c7]Yash Sinha, Murari Mandal, Mohan S. Kankanhalli:
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints. AAAI 2025: 12541-12549 - [i7]Debdeep Sanyal, Umakanta Maharana, Yash Sinha, Hong Ming Tan, Shirish S. Karande, Mohan S. Kankanhalli, Murari Mandal:
OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs. CoRR abs/2505.19165 (2025) - [i6]Yash Sinha, Manit Baser, Murari Mandal, Dinil Mon Divakaran, Mohan S. Kankanhalli:
Step-by-Step Reasoning Attack: Revealing 'Erased' Knowledge in Large Language Models. CoRR abs/2506.17279 (2025) - [i5]Alakh Sharma, Gaurish Trivedi, Kartikey Singh Bhandari, Yash Sinha, Dhruv Kumar, Pratik Narang, Jagat Sesh Challa:
Generative Evolutionary Meta-Solver (GEMS): Scalable Surrogate-Free Multi-Agent Learning. CoRR abs/2509.23462 (2025) - [i4]Devanshu Sahoo, Manish Prasad, Vasudev Majhi, Jahnvi Singh, Vinay Chamola, Yash Sinha, Murari Mandal, Dhruv Kumar:
When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection. CoRR abs/2512.10449 (2025) - 2024
- [i3]Yash Sinha, Murari Mandal, Mohan S. Kankanhalli:
Multi-Modal Recommendation Unlearning. CoRR abs/2405.15328 (2024) - [i2]Yash Sinha, Murari Mandal, Mohan S. Kankanhalli:
UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs. CoRR abs/2410.17050 (2024) - 2023
- [i1]Yash Sinha, Murari Mandal, Mohan S. Kankanhalli:
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation. CoRR abs/2309.16173 (2023)
2010 – 2019
- 2018
- [c6]Harsh Sinha, Shivin Srivastava, Yash Sinha:
Studying the Role of Kinect as a Multi-Sensory Learning Platform for Children. UbiComp/ISWC Adjunct 2018: 251-254 - 2017
- [j1]Sandhya, Yash Sinha, K. Haribabu:
A survey: Hybrid SDN. J. Netw. Comput. Appl. 100: 35-55 (2017) - [c5]Yash Sinha, Siddharth Bhatia, Virendra Singh Shekhawat:
MPLS based hybridization in SDN. SDS 2017: 156-161 - [c4]Siddharth Bhatia, Yash Sinha, Lavika Goel:
Lung Cancer Detection: A Deep Learning Approach. SocProS (2) 2017: 699-705 - [c3]Harsh Sinha, Raunak Manekar, Yash Sinha, Pawan K. Ajmera:
Convolutional Neural Network-Based Human Identification Using Outer Ear Images. SocProS (2) 2017: 707-719 - [c2]Yash Sinha, Shikhar Vashishth, K. Hari Babu:
Meticulous Measurement of Control Packets in SDN. SOSR 2017: 187-188 - 2016
- [c1]Shikhar Vashishth, Yash Sinha, K. Hari Babu:
Addressing Challenges in Browser Based P2P Content Sharing Framework Using WebRTC. AINA 2016: 850-857
Coauthor Index
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last updated on 2026-07-13 00:15 CEST by the dblp team
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