CMU's Machine Translation System for IWSLT 2019. - Tejas Srinivasan; Ramon Sanabria; Florian Metze (IWSLT, 2019)

Multitask Learning For Different Subword Segmentations In Neural Machine Translation. - Tejas Srinivasan; Ramon Sanabria; Florian Metze (IWSLT, 2019)

Structured Fusion Networks for Dialog. - Shikib Mehri; Tejas Srinivasan; Maxine Eskénazi (SIGdial, 2019)

Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions. - Tejas Srinivasan; Ramon Sanabria; Florian Metze (CoRR, 2019)

Fine-Grained Grounding for Multimodal Speech Recognition. - Tejas Srinivasan; Ramon Sanabria; Florian Metze; Desmond Elliott (EMNLP (Findings), 2020)

Looking Enhances Listening: Recovering Missing Speech Using Images. - Tejas Srinivasan; Ramon Sanabria; Florian Metze (ICASSP, 2020)

Multimodal Speech Recognition with Unstructured Audio Masking. - Tejas Srinivasan; Ramon Sanabria; Florian Metze; Desmond Elliott (CoRR, 2020)

Reasoning Over History: Context Aware Visual Dialog. - Muhammad A. Shah; Shikib Mehri; Tejas Srinivasan (CoRR, 2020)

Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models. - Tejas Srinivasan; Yonatan Bisk (CoRR, 2021)

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. - Tejas Srinivasan; Ting-Yun Chang; Leticia Leonor Pinto Alva; Georgios Chochlakis; Mohammad Rostami; Jesse Thomason (NeurIPS, 2022)

VAuLT: Augmenting the Vision-and-Language Transformer with the Propagation of Deep Language Representations. - Georgios Chochlakis; Tejas Srinivasan; Jesse Thomason; Shrikanth Narayanan (CoRR, 2022)

I2I: Initializing Adapters with Improvised Knowledge. - Tejas Srinivasan; Furong Jia 002; Mohammad Rostami; Jesse Thomason (CoLLAs, 2023)

Curriculum Learning for Data-Efficient Vision-Language Alignment. - Tejas Srinivasan; Xiang Ren; Jesse Thomason (CVPR Workshops, 2023)

Exploring Strategies for Modeling Sign Language Phonology. - Lee Kezar; Tejas Srinivasan; Riley Carlin; Jesse Thomason; Zed Sevcikova Sehyr; Naomi Caselli (ESANN, 2023)

Multimodal Speech Recognition for Language-Guided Embodied Agents. - Allen Chang; Xiaoyuan Zhu; Aarav Monga; Seoho Ahn; Tejas Srinivasan; Jesse Thomason (INTERSPEECH, 2023)

Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning. - Tejas Srinivasan; Jack Hessel; Tanmay Gupta; Bill Yuchen Lin; Yejin Choi 001; Jesse Thomason; Khyathi Raghavi Chandu (ACL (Findings), 2024)

Compare without Despair: Reliable Preference Evaluation with Generation Separability. - Sayan Ghosh; Tejas Srinivasan; Swabha Swayamdipta (EMNLP (Findings), 2024)

WinoViz: Probing Visual Properties of Objects Under Different States. - Woojeong Jin 001; Tejas Srinivasan; Jesse Thomason; Xiang Ren 001 (CoRR, 2024)

Can Vision Language Models Understand Mimed Actions? - Hyundong Justin Cho; Spencer Lin; Tejas Srinivasan; Michael Saxon; Deuksin Kwon; Natali T. Chavez; Jonathan May (ACL (Findings), 2025)

Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems. - Mert Inan; Anthony Sicilia; Suvodip Dey; Vardhan Dongre; Tejas Srinivasan; Jesse Thomason; Gökhan Tür; Dilek Hakkani-Tür; Malihe Alikhani (CoRR, 2025)

Adjust for Trust: Mitigating Trust-Induced Inappropriate Reliance on AI Assistance. - Tejas Srinivasan; Jesse Thomason (CoRR, 2025)

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered. - Siddartha Devic; Tejas Srinivasan; Jesse Thomason; Willie Neiswanger; Vatsal Sharan (CoRR, 2025)

Can Vision Language Models Understand Mimed Actions? - Hyundong Cho; Spencer Lin; Tejas Srinivasan; Michael S. Bernstein; Deuksin Kwon; Natali T. Chavez; Jonathan May (CoRR, 2025)