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- Chitta Baral
Arizona State University, Tempe, Arizona, USA
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Publication search results
found 394 matches
- 2024
- Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. AAAI 2024: 14554-14562 - Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. CoRR abs/2401.00287 (2024) - Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang:
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space. CoRR abs/2402.05195 (2024) - Divij Handa, Advait Chirmule, Bimal G. Gajera, Chitta Baral:
Jailbreaking Proprietary Large Language Models using Word Substitution Cipher. CoRR abs/2402.10601 (2024) - Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. CoRR abs/2403.11092 (2024) - Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang:
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. CoRR abs/2404.01197 (2024) - Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CoRR abs/2404.08540 (2024) - Amir Saeidi, Shivanshu Verma, Chitta Baral:
Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks. CoRR abs/2404.14723 (2024) - Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral:
Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models. CoRR abs/2404.15522 (2024) - Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang:
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CoRR abs/2405.15961 (2024) - Amir Saeidi, Shivanshu Verma, Aswin RRV, Chitta Baral:
Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step Optimization. CoRR abs/2405.16681 (2024) - Aswin RRV, Nemika Tyagi, Md Nayem Uddin, Neeraj Varshney, Chitta Baral:
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies. CoRR abs/2406.03827 (2024) - Divij Handa, Pavel Dolin, Shrinidhi Kumbhar, Chitta Baral, Tran Cao Son:
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints. CoRR abs/2406.04046 (2024) - Neeraj Varshney, Satyam Raj, Venkatesh Mishra, Agneet Chatterjee, Ritika Sarkar, Amir Saeidi, Chitta Baral:
Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation. CoRR abs/2406.05494 (2024) - Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, Shreyas Verma, Chitta Baral, Swaroop Mishra:
Investigating the Robustness of LLMs on Math Word Problems. CoRR abs/2406.15444 (2024) - Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral:
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models. CoRR abs/2406.17169 (2024) - 2023
- Paulo Shakarian, Chitta Baral, Gerardo I. Simari, Bowen Xi, Lahari Pokala:
Neuro Symbolic Reasoning and Learning. Springer Briefs in Computer Science, Springer 2023, ISBN 978-3-031-39178-1, pp. 1-119 - Garima Agrawal, Kuntal Pal, Yuli Deng, Huan Liu, Chitta Baral:
AISecKG: Knowledge Graph Dataset for Cybersecurity Education. AAAI Spring Symposium: MAKE 2023 - Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. ACL (1) 2023: 8573-8589 - Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral, Peyman Heidari:
A Study on the Efficiency and Generalization of Light Hybrid Retrievers. ACL (2) 2023: 1617-1626 - Neeraj Varshney, Chitta Baral:
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA. ACL (1) 2023: 967-982 - Neeraj Varshney, Himanshu Gupta, Eric Robertson, Bing Liu, Chitta Baral:
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution. ACL (Findings) 2023: 1794-1818 - Tung Thai, Mudit Verma, Utkarsh Soni, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Neeraj Varshney, Chitta Baral, Subbarao Kambhampati, Jivko Sinapov, Matthias Scheutz:
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments. AAMAS 2023: 2385-2387 - Anjana Arunkumar, Swaroop Mishra, Bhavdeep Singh Sachdeva, Chitta Baral, Chris Bryan:
Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow. EACL 2023: 2891-2919 - Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Scaria, Siddharth Goyal, Chitta Baral:
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility. EACL 2023: 407-417 - Mihir Parmar, Swaroop Mishra, Mor Geva, Chitta Baral:
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. EACL 2023: 1771-1781 - Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral:
How Many Data Samples is an Additional Instruction Worth? EACL (Findings) 2023: 1012-1027 - Mutsumi Nakamura, Santosh Mashetty, Mihir Parmar, Neeraj Varshney, Chitta Baral:
LogicAttack: Adversarial Attacks for Evaluating Logical Consistency of Natural Language Inference. EMNLP (Findings) 2023: 13322-13334 - Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Pölitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri:
InstructExcel: A Benchmark for Natural Language Instruction in Excel. EMNLP (Findings) 2023: 4026-4043 - Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. WACV 2023: 434-443
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