Vasudev Lal

According to our database, Vasudev Lal authored at least 38 papers between 2021 and 2024.

Collaborative distances:

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

2024

Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency.

Prafulla Kumar Choubey, Xin Su, Man Luo, Xiangyu Peng, Caiming Xiong, Tiep Le, Shachar Rosenman, Vasudev Lal, Phil Mui, Ricky Ho Yin Chan, Phillip Howard, Chien-Sheng Wu

CoRR, 2024

Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations.

Neale Ratzlaff, Matthew Lyle Olson, Musashi Hinck, Shao-Yen Tseng, Vasudev Lal, Phillip Howard

CoRR, 2024

Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review.

Sungduk Yu, Man Luo, Avinash Madasu, Vasudev Lal, Phillip Howard

CoRR, 2024

Quantifying and Enabling the Interpretability of CLIP-like Models.

Avinash Madasu, Yossi Gandelsman, Vasudev Lal, Phillip Howard

CoRR, 2024

ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution.

Sungduk Yu, Brian L. White, Anahita Bhiwandiwalla, Musashi Hinck, Matthew Lyle Olson, Tung Nguyen, Vasudev Lal

CoRR, 2024

SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs.

Xin Su, Man Luo, Kris W. Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard

CoRR, 2024

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models.

Gabriela Ben Melech Stan, Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Matthew Lyle Olson, Anahita Bhiwandiwalla, Estelle Aflalo, Chenfei Wu, Nan Duan, Shao-Yen Tseng, Vasudev Lal

CoRR, 2024

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model.

Musashi Hinck, Matthew L. Olson, David Cobbley, Shao-Yen Tseng, Vasudev Lal

CoRR, 2024

NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge.

Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Why do LLaVA Vision-Language Models Reply to Images in English?

Musashi Hinck, Carolin Holtermann, Matthew L. Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Getting it Right: Improving Spatial Consistency in Text-to-Image Models.

Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation.

Shachar Rosenman, Vasudev Lal, Phillip Howard

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models.

Avinash Madasu, Vasudev Lal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples.

Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

L-MAGIC: Language Model Assisted Generation of Images with Coherence.

Zhipeng Cai, Matthias Mueller, Reiner Birkl, Diana Wofk, Shao-Yen Tseng, Junda Cheng, Gabriela Ben Melech Stan, Vasudev Lal, Michael Paulitsch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MuMUR: Multilingual Multimodal Universal Retrieval.

Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shachar Rosenman, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal

Inf. Retr. J., June, 2023

Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples.

Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal

CoRR, 2023

LDM3D-VR: Latent Diffusion Model for 3D VR.

Gabriela Ben Melech Stan, Diana Wofk, Estelle Aflalo, Shao-Yen Tseng, Zhipeng Cai, Michael Paulitsch, Vasudev Lal

CoRR, 2023

Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks.

Avinash Madasu, Anahita Bhiwandiwalla, Vasudev Lal

CoRR, 2023

Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples.

Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Vasudev Lal

CoRR, 2023

ICSVR: Investigating Compositional and Semantic Understanding in Video Retrieval Models.

Avinash Madasu, Vasudev Lal

CoRR, 2023

LDM3D: Latent Diffusion Model for 3D.

Gabriela Ben Melech Stan, Diana Wofk, Scottie Fox, Alex Redden, Will Saxton, Jean Yu, Estelle Aflalo, Shao-Yen Tseng, Fabio Nonato, Matthias Müller, Vasudev Lal

CoRR, 2023

Is multi-modal vision supervision beneficial to language?

Avinash Madasu, Vasudev Lal

CoRR, 2023

Brain encoding models based on multimodal transformers can transfer across language and vision.

Jerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs.

Tiep Le, Vasudev Lal, Phillip Howard

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Video Retrieval Using Multilingual Knowledge Transfer.

Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal

Proceedings of the Advances in Information Retrieval, 2023

Is Multimodal Vision Supervision Beneficial to Language?

Avinash Madasu, Vasudev Lal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning.

Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning.

Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bridge-Tower: Building Bridges Between Encoders in Vision-Language Representation Learning.

Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Nan Duan

CoRR, 2022

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction.

Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan

Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation.

Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation.

Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers.

Estelle Aflalo, Meng Du, Shao-Yen Tseng, Yongfei Liu, Chenfei Wu, Nan Duan, Vasudev Lal

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs.

Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding.

Gadi Singer, Joscha Bach, Tetiana Grinberg, Nagib Hakim, Phillip Ryan Howard, Vasudev Lal, Zev Rivlin

Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

2021

InterpreT: An Interactive Visualization Tool for Interpreting Transformers.

Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Paula Simões, Daniel Korat, Oren Pereg, Gadi Singer, Moshe Wasserblat

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

First Workshop on Knowledge Injection in Neural Networks (KINN).

Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021