Vinija Jain

According to our database1, Vinija Jain authored at least 31 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Overview of Factify5WQA: Fact Verification through 5W Question-Answering.
CoRR, 2024

Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types.
CoRR, 2024

The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks.
CoRR, 2024

Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models.
CoRR, 2024

Evaluating Open Language Models Across Task Types, Application Domains, and Reasoning Types: An In-Depth Experimental Analysis.
CoRR, 2024

Investigating Annotator Bias in Large Language Models for Hate Speech Detection.
CoRR, 2024

Decoding the Diversity: A Review of the Indic AI Research Landscape.
CoRR, 2024

How Culturally Aware are Vision-Language Models?
CoRR, 2024

A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models.
CoRR, 2024

Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey.
CoRR, 2024

Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications.
CoRR, 2024

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions.
CoRR, 2024

Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation.
CoRR, 2024

Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models.
CoRR, 2024

Breaking Down the Defenses: A Comparative Survey of Attacks on Large Language Models.
CoRR, 2024

PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models.
CoRR, 2024

Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review.
CoRR, 2024

Cause and Effect: Can Large Language Models Truly Understand Causality?
CoRR, 2024

From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings.
CoRR, 2024

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.
CoRR, 2024

The What, Why, and How of Context Length Extension Techniques in Large Language Models - A Detailed Survey.
CoRR, 2024

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.
CoRR, 2024

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Dynamic Corrective Self-Distillation for Better Fine-Tuning of Pretrained Models.
CoRR, 2023

SEPSIS: I Can Catch Your Lies - A New Paradigm for Deception Detection.
CoRR, 2023

Counter Turing Test CT^2: AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index.
CoRR, 2023

CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling.
CoRR, 2023

Few-shot Multimodal Multitask Multilingual Learning.
CoRR, 2023

Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI).
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability.
CoRR, 2021


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