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Vasudev Lal
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2020 – today
- 2024
- [c21]Avinash Madasu, Vasudev Lal:
ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models. CVPR Workshops 2024: 1733-1743 - [c20]Zhipeng Cai, Matthias Mueller, Reiner Birkl, Diana Wofk, Shao-Yen Tseng, Junda Cheng, Gabriela Ben Melech Stan, Vasudev Lal, Michael Paulitsch:
L-MAGIC: Language Model Assisted Generation of Images with Coherence. CVPR 2024: 7049-7058 - [c19]Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal:
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. CVPR 2024: 11975-11985 - [c18]Shachar Rosenman, Vasudev Lal, Phillip Howard:
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation. EACL (Demonstrations) 2024: 159-167 - [c17]Agneet Chatterjee
, Gabriela Ben Melech Stan
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. ECCV (22) 2024: 204-222 - [c16]Musashi Hinck, Carolin Holtermann, Matthew L. Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? EMNLP (Findings) 2024: 13402-13421 - [c15]Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta:
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. NAACL-HLT (Findings) 2024: 4502-4520 - [i30]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) - [i29]Musashi Hinck, Matthew L. Olson, David Cobbley, Shao-Yen Tseng, Vasudev Lal:
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model. CoRR abs/2404.01331 (2024) - [i28]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:
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. CoRR abs/2404.03118 (2024) - [i27]Zhipeng Cai, Matthias Mueller, Reiner Birkl, Diana Wofk, Shao-Yen Tseng, Junda Cheng, Gabriela Ben Melech Stan, Vasudev Lal, Michael Paulitsch:
L-MAGIC: Language Model Assisted Generation of Images with Coherence. CoRR abs/2406.01843 (2024) - [i26]Xin Su, Man Luo, Kris W. Pan, Tien Pei Chou, Vasudev Lal, Phillip Howard:
SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs. CoRR abs/2406.19593 (2024) - [i25]Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? CoRR abs/2407.02333 (2024) - [i24]Sungduk Yu, Brian L. White, Anahita Bhiwandiwalla, Musashi Hinck, Matthew Lyle Olson, Tung Nguyen, Vasudev Lal:
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution. CoRR abs/2408.15993 (2024) - [i23]Avinash Madasu, Yossi Gandelsman, Vasudev Lal, Phillip Howard:
Quantifying and Enabling the Interpretability of CLIP-like Models. CoRR abs/2409.06579 (2024) - [i22]Sungduk Yu, Man Luo, Avinash Madasu, Vasudev Lal, Phillip Howard:
Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer Review. CoRR abs/2410.03019 (2024) - [i21]Neale Ratzlaff, Matthew Lyle Olson, Musashi Hinck, Shao-Yen Tseng, Vasudev Lal, Phillip Howard:
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations. CoRR abs/2410.13976 (2024) - [i20]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:
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency. CoRR abs/2410.16597 (2024) - 2023
- [j1]Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shachar Rosenman, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal:
MuMUR: Multilingual Multimodal Universal Retrieval. Inf. Retr. J. 26(1): 5 (2023) - [c14]Xiao Xu, Chenfei Wu, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning. AAAI 2023: 10637-10647 - [c13]Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. ACL (1) 2023: 14507-14525 - [c12]Avinash Madasu, Vasudev Lal:
Is Multimodal Vision Supervision Beneficial to Language? CVPR Workshops 2023: 2637-2642 - [c11]Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal:
Improving Video Retrieval Using Multilingual Knowledge Transfer. ECIR (1) 2023: 669-684 - [c10]Tiep Le, Vasudev Lal, Phillip Howard:
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs. NeurIPS 2023 - [c9]Jerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander Huth:
Brain encoding models based on multimodal transformers can transfer across language and vision. NeurIPS 2023 - [i19]Avinash Madasu, Vasudev Lal:
Is multi-modal vision supervision beneficial to language? CoRR abs/2302.05016 (2023) - [i18]Gadi Singer, Joscha Bach, Tetiana Grinberg, Nagib Hakim, Phillip Howard, Vasudev Lal, Zev Rivlin:
Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding. CoRR abs/2303.12084 (2023) - [i17]Phillip Howard, Junlin Wang, Vasudev Lal, Gadi Singer, Yejin Choi, Swabha Swayamdipta:
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. CoRR abs/2305.04978 (2023) - [i16]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:
LDM3D: Latent Diffusion Model for 3D. CoRR abs/2305.10853 (2023) - [i15]Jerry Tang, Meng Du, Vy A. Vo, Vasudev Lal, Alexander G. Huth:
Brain encoding models based on multimodal transformers can transfer across language and vision. CoRR abs/2305.12248 (2023) - [i14]Xiao Xu
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. CoRR abs/2306.00103 (2023) - [i13]Avinash Madasu, Vasudev Lal:
ICSVR: Investigating Compositional and Semantic Understanding in Video Retrieval Models. CoRR abs/2306.16533 (2023) - [i12]Tiep Le, Vasudev Lal, Phillip Howard:
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs. CoRR abs/2309.14356 (2023) - [i11]Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Vasudev Lal:
Probing Intersectional Biases in Vision-Language Models with Counterfactual Examples. CoRR abs/2310.02988 (2023) - [i10]Avinash Madasu, Anahita Bhiwandiwalla, Vasudev Lal:
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks. CoRR abs/2310.04914 (2023) - [i9]Gabriela Ben Melech Stan, Diana Wofk, Estelle Aflalo, Shao-Yen Tseng, Zhipeng Cai, Michael Paulitsch, Vasudev Lal:
LDM3D-VR: Latent Diffusion Model for 3D VR. CoRR abs/2311.03226 (2023) - [i8]Shachar Rosenman, Vasudev Lal, Phillip Howard:
NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation. CoRR abs/2311.12229 (2023) - [i7]Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal:
Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. CoRR abs/2312.00825 (2023) - 2022
- [c8]Gadi Singer, Joscha Bach, Tetiana Grinberg
Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding. AGI 2022: 404-412 - [c7]Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer:
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. CIKM 2022: 780-790 - [c6]Estelle Aflalo, Meng Du
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers. CVPR 2022: 21374-21383 - [c5]Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta:
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. EMNLP (Findings) 2022: 5056-5072 - [c4]Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan:
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. NAACL-HLT (Findings) 2022: 1589-1600 - [c3]Ayal Klein, Oren Pereg, Daniel Korat, Vasudev Lal, Moshe Wasserblat, Ido Dagan:
Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction. WASSA@ACL 2022: 104-112 - [i6]Estelle Aflalo, Meng Du
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers. CoRR abs/2203.17247 (2022) - [i5]Xiao Xu
Bridge-Tower: Building Bridges Between Encoders in Vision-Language Representation Learning. CoRR abs/2206.08657 (2022) - [i4]Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal:
Improving video retrieval using multilingual knowledge transfer. CoRR abs/2208.11553 (2022) - [i3]Phillip Howard, Arden Ma, Vasudev Lal, Ana Paula Simões, Daniel Korat, Oren Pereg, Moshe Wasserblat, Gadi Singer:
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs. CoRR abs/2210.10144 (2022) - [i2]Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, Swabha Swayamdipta:
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. CoRR abs/2210.12365 (2022) - 2021
- [c2]Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini
First Workshop on Knowledge Injection in Neural Networks (KINN). CIKM 2021: 4882-4883 - [c1]Vasudev Lal, Arden Ma, Estelle Aflalo, Phillip Howard, Ana Paula Simões, Daniel Korat, Oren Pereg, Gadi Singer, Moshe Wasserblat:
InterpreT: An Interactive Visualization Tool for Interpreting Transformers. EACL (System Demonstrations) 2021: 135-142 - [i1]Yongfei Liu, Chenfei Wu, Shao-Yen Tseng, Vasudev Lal, Xuming He, Nan Duan:
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation. CoRR abs/2109.10504 (2021)
Coauthor Index
aka: Phillip Ryan Howard
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last updated on 2024-11-28 20:30 CET by the dblp team
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