Gaurav Srivastava

According to our database, Gaurav Srivastava authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

EffGen: Enabling Small Language Models as Capable Autonomous Agents.

Gaurav Srivastava, Aafiya Hussain, Chi Wang, Yingyan Celine Lin, Xuan Wang

CoRR, February, 2026

SoundBreak: A Systematic Study of Audio-Only Adversarial Attacks on Trimodal Models.

Aafiya Shamshad Hussain, Gaurav Srivastava, Alvi Md. Ishmam, Zaber Ibn Abdul Hakim, Chris Thomas

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation.

Zhenyu Bi, Gaurav Srivastava, Yang Li, Swastik Roy, Meng Lu, Morteza Ziyadi, Xuan Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects.

Chris Latimer, Nicoló Boschi, Andrew Neeser, Chris Bartholomew, Gaurav Srivastava, Xuan Wang, Naren Ramakrishnan

CoRR, December, 2025

Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs.

Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang

CoRR, November, 2025

BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models.

Gaurav Srivastava, Aafiya Hussain, Zhenyu Bi, Swastik Roy, Priya Pitre, Meng Lu, Morteza Ziyadi, Xuan Wang

CoRR, September, 2025

LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models.

Gaurav Srivastava, Aafiya Hussain, Sriram Srinivasan, Xuan Wang

CoRR, July, 2025

eFuseNet: A deep ensemble fusion network for efficient detection of Arrhythmia and Myocardial Infarction using ECG signals.

Amitesh Kumar Dwivedi, Gaurav Srivastava, Sakshi Tripathi, Nitesh Pradhan

Multim. Tools Appl., May, 2025

ThinkSLM: Towards Reasoning in Small Language Models.

Gaurav Srivastava, Shuxiang Cao, Xuan Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model Reasoning.

Gaurav Srivastava, Zhenyu Bi, Meng Lu, Xuan Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

ApneaNet: A hybrid 1DCNN-LSTM architecture for detection of Obstructive Sleep Apnea using digitized ECG signals.

Gaurav Srivastava, Aninditaa Chauhan, Nitigya Kargeti, Nitesh Pradhan, Vijaypal Singh Dhaka

Biomed. Signal Process. Control., July, 2023

Handling imbalanced class in melanoma: Kemeny-Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization.

Gaurav Srivastava, Nitesh Pradhan

Eng. Appl. Artif. Intell., 2023

CJT-DEO: Condorcet's Jury Theorem and Differential Evolution Optimization based ensemble of deep neural networks for pulmonary and Colorectal cancer classification.

Gaurav Srivastava, Aninditaa Chauhan, Nitesh Pradhan

Appl. Soft Comput., 2023

Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection.

Gaurav Srivastava, Mahesh Jangid

Proceedings of the International Conference on System Science and Engineering, 2023

2022

Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images.

Gaurav Srivastava, Nitesh Pradhan, Yashwin Saini

Comput. Biol. Medicine, 2022

CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images.

Gaurav Srivastava, Aninditaa Chauhan, Mahesh Jangid, Sandeep Chaurasia

Biomed. Signal Process. Control., 2022