Gaurav Srivastava

19 papers A* 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EffGen: Enabling Small Language Models as Capable Autonomous Agents. CoRR Gaurav Srivastava, Aafiya Hussain, Chi Wang, Yingyan Celine Lin, Xuan Wang
2026	A*	`conf`	JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation. AAAI Zhenyu Bi, Gaurav Srivastava, Yang Li, Swastik Roy, Meng Lu, Morteza Ziyadi, Xuan Wang
2026	J	`jnl`	SoundBreak: A Systematic Study of Audio-Only Adversarial Attacks on Trimodal Models. CoRR Aafiya Hussain, Gaurav Srivastava, Alvi Md. Ishmam, Zaber Ibn Abdul Hakim, Chris Thomas
2025	J	`jnl`	BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models. CoRR Gaurav Srivastava, Aafiya Hussain, Zhenyu Bi, Swastik Roy, Priya Pitre, Meng Lu, Morteza Ziyadi, Xuan Wang
2025	J	`jnl`	DEBATE, TRAIN, EVOLVE: Self Evolution of Language Model Reasoning. CoRR Gaurav Srivastava, Zhenyu Bi, Meng Lu, Xuan Wang
2025	A*	`conf`	DEBATE, TRAIN, EVOLVE: Self-Evolution of Language Model Reasoning. EMNLP Gaurav Srivastava, Zhenyu Bi, Meng Lu, Xuan Wang
2025	J	`jnl`	Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflects. CoRR Chris Latimer, Nicoló Boschi, Andrew Neeser, Chris Bartholomew, Gaurav Srivastava, Xuan Wang, Naren Ramakrishnan
2025	J	`jnl`	JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation. CoRR Zhenyu Bi, Gaurav Srivastava, Yang Li, Meng Lu, Swastik Roy, Morteza Ziyadi, Xuan Wang
2025	J	`jnl`	LLMThinkBench: Towards Basic Math Reasoning and Overthinking in Large Language Models. CoRR Gaurav Srivastava, Aafiya Hussain, Sriram Srinivasan, Xuan Wang
2025	J	`jnl`	Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs. CoRR 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
2025	A*	`conf`	ThinkSLM: Towards Reasoning in Small Language Models. EMNLP Gaurav Srivastava, Shuxiang Cao, Xuan Wang
2025	J	`jnl`	eFuseNet: A deep ensemble fusion network for efficient detection of Arrhythmia and Myocardial Infarction using ECG signals. Multim. Tools Appl. Amitesh Kumar Dwivedi, Gaurav Srivastava, Sakshi Tripathi, Nitesh Pradhan
2023	J	`jnl`	ApneaNet: A hybrid 1DCNN-LSTM architecture for detection of Obstructive Sleep Apnea using digitized ECG signals. Biomed. Signal Process. Control. Gaurav Srivastava, Aninditaa Chauhan, Nitigya Kargeti, Nitesh Pradhan, Vijaypal Singh Dhaka
2023	J	`jnl`	CJT-DEO: Condorcet's Jury Theorem and Differential Evolution Optimization based ensemble of deep neural networks for pulmonary and Colorectal cancer classification. Appl. Soft Comput. Gaurav Srivastava, Aninditaa Chauhan, Nitesh Pradhan
2023	J	`jnl`	Handling imbalanced class in melanoma: Kemeny-Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization. Eng. Appl. Artif. Intell. Gaurav Srivastava, Nitesh Pradhan
2023	—	`conf`	Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection. ICSSE Gaurav Srivastava, Mahesh Jangid
2023	J	`jnl`	Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection. CoRR Gaurav Srivastava, Mahesh Jangid
2022	J	`jnl`	CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images. Biomed. Signal Process. Control. Gaurav Srivastava, Aninditaa Chauhan, Mahesh Jangid, Sandeep Chaurasia
2022	J	`jnl`	Ensemble of Deep Neural Networks based on Condorcet's Jury Theorem for screening Covid-19 and Pneumonia from radiograph images. Comput. Biol. Medicine Gaurav Srivastava, Nitesh Pradhan, Yashwin Saini