First Workshop on Knowledge Injection in Neural Networks (KINN). - Vasudev Lal; Somak Aditya; Yezhou Yang; Pasquale Minervini; Sandya Mannarswamy (CIKM, 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 (EACL (System Demonstrations), 2021)

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 (AGI, 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 (CIKM, 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 (CVPR, 2022)

NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation. - Phillip Howard; Gadi Singer; Vasudev Lal; Yejin Choi 001; Swabha Swayamdipta (EMNLP (Findings), 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 001; Nan Duan (NAACL-HLT (Findings), 2022)

Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction. - Ayal Klein; Oren Pereg; Daniel Korat; Vasudev Lal; Moshe Wasserblat; Ido Dagan (WASSA@ACL, 2022)

Bridge-Tower: Building Bridges Between Encoders in Vision-Language Representation Learning. - Xiao Xu 005; Chenfei Wu; Shachar Rosenman; Vasudev Lal; Nan Duan (CoRR, 2022)

BridgeTower: Building Bridges between Encoders in Vision-Language Representation Learning. - Xiao Xu 005; Chenfei Wu; Shachar Rosenman; Vasudev Lal; Wanxiang Che; Nan Duan (AAAI, 2023)

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. - Xiao Xu 005; Bei Li; Chenfei Wu; Shao-Yen Tseng; Anahita Bhiwandiwalla; Shachar Rosenman; Vasudev Lal; Wanxiang Che; Nan Duan (ACL (1), 2023)

Is Multimodal Vision Supervision Beneficial to Language? - Avinash Madasu; Vasudev Lal (CVPR Workshops, 2023)

Improving Video Retrieval Using Multilingual Knowledge Transfer. - Avinash Madasu; Estelle Aflalo; Gabriela Ben Melech Stan; Shao-Yen Tseng; Gedas Bertasius; Vasudev Lal (ECIR (1), 2023)

COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs. - Tiep Le; Vasudev Lal; Phillip Howard (NeurIPS, 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 (NeurIPS, 2023)

Is multi-modal vision supervision beneficial to language? - 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 011; Vasudev Lal (CoRR, 2023)

ICSVR: Investigating Compositional and Semantic Understanding in Video Retrieval Models. - Avinash Madasu; 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)

Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks. - Avinash Madasu; 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)

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)

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., 2023)

L-MAGIC: Language Model Assisted Generation of Images with Coherence. - Zhipeng Cai; Matthias Mueller 001; Reiner Birkl; Diana Wofk; Shao-Yen Tseng; Junda Cheng; Gabriela Ben Melech Stan; Vasudev Lal; Michael Paulitsch (CVPR, 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 (CVPR, 2024)

ICSVR: Investigating Compositional and Syntactic Understanding in Video Retrieval Models. - Avinash Madasu; Vasudev Lal (CVPR Workshops, 2024)

NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation. - Shachar Rosenman; Vasudev Lal; Phillip Howard (EACL (Demonstrations), 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 (ECCV (22), 2024)

Why do LLaVA Vision-Language Models Reply to Images in English? - Musashi Hinck; Carolin Holtermann; Matthew L. Olson; Florian Schneider 001; Sungduk Yu; Anahita Bhiwandiwalla; Anne Lauscher; Shao-Yen Tseng; Vasudev Lal (EMNLP (Findings), 2024)

NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge. - Phillip Howard; Junlin Wang; Vasudev Lal; Gadi Singer; Yejin Choi 001; Swabha Swayamdipta (NAACL-HLT (Findings), 2024)

LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. - Gabriela Ben Melech Stan; Estelle Aflalo; Raanan Yehezkel Rohekar; Anahita Bhiwandiwalla; Shao-Yen Tseng; Matthew Lyle Olson; Yaniv Gurwicz; Chenfei Wu; Nan Duan; Vasudev Lal (XAI4CV, 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)

SK-VQA: Synthetic Knowledge Generation at Scale for Training Context-Augmented Multimodal LLMs. - Xin Su 008; Man Luo; Kris W. Pan; Tien Pei Chou; 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)

Quantifying and Enabling the Interpretability of CLIP-like Models. - Avinash Madasu; Yossi Gandelsman; 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)

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)

Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency. - Prafulla Kumar Choubey; Xin Su 008; 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)

Debias your Large Multi-Modal Model at Test-Time with Non-Contrastive Visual Attribute Steering. - Neale Ratzlaff; Matthew Lyle Olson; Musashi Hinck; Estelle Aflalo; Shao-Yen Tseng; Vasudev Lal; Phillip Howard (CoRR, 2024)

FastRM: An efficient and automatic explainability framework for multimodal generative models. - Gabriela Ben Melech Stan; Estelle Aflalo; Man Luo; Shachar Rosenman; Tiep Le; Sayak Paul; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

Steering Large Language Models to Evaluate and Amplify Creativity. - Matthew Lyle Olson; Neale Ratzlaff; Musashi Hinck; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

Causal World Representation in the GPT Model. - Raanan Y. Rohekar; Yaniv Gurwicz; Sungduk Yu; Vasudev Lal (CoRR, 2024)

FiVL: A Framework for Improved Vision-Language Alignment. - Estelle Aflalo; Gabriela Ben Melech Stan; Tiep Le; Man Luo; Shachar Rosenman; Sayak Paul; Shao-Yen Tseng; Vasudev Lal (CoRR, 2024)

Training-Free Mitigation of Language Reasoning Degradation After Multimodal Instruction Tuning. - Neale Ratzlaff; Man Luo; Xin Su 008; Vasudev Lal; Phillip Howard (AAAI Spring Symposia, 2025)

Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders. - Matthew Lyle Olson; Musashi Hinck; Neale Ratzlaff; Changbai Li; Phillip Howard; Vasudev Lal; Shao-Yen Tseng (CVPR Workshops, 2025)

LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model Compression. - Souvik Kundu 002; Anahita Bhiwandiwalla; Sungduk Yu; Phillip Howard; Tiep Le; Sharath Nittur Sridhar; David Cobbley; Hao Kang; Vasudev Lal (NAACL (Findings), 2025)

Semantic Specialization in MoE Appears with Scale: A Study of DeepSeek R1 Expert Specialization. - Matthew Lyle Olson; Neale Ratzlaff; Musashi Hinck; Man Luo; Sungduk Yu; Chendi Xue; Vasudev Lal (CoRR, 2025)

Is Your Paper Being Reviewed by an LLM? A New Benchmark Dataset and Approach for Detecting AI Text in Peer Review. - Sungduk Yu; Man Luo; Avinash Madusu; Vasudev Lal; Phillip Howard (CoRR, 2025)

Quantifying Interpretability in CLIP Models with Concept Consistency. - Avinash Madasu; Vasudev Lal; Phillip Howard (CoRR, 2025)

Learning from Reasoning Failures via Synthetic Data Generation. - Gabriela Ben Melech Stan; Estelle Aflalo; Avinash Madasu; Vasudev Lal; Phillip Howard (CoRR, 2025)

Cultural Awareness in Vision-Language Models: A Cross-Country Exploration. - Avinash Madasu; Vasudev Lal; Phillip Howard (CoRR, 2025)

DPO Learning with LLMs-Judge Signal for Computer Use Agents. - Man Luo; David Cobbley; Xin Su 008; Shachar Rosenman; Vasudev Lal; Shao-Yen Tseng; Phillip Howard (CoRR, 2025)

Probing the Representational Power of Sparse Autoencoders in Vision Models. - Matthew Lyle Olson; Musashi Hinck; Neale Ratzlaff; Changbai Li; Phillip Howard; Vasudev Lal; Shao-Yen Tseng (CoRR, 2025)