Tiering as a Stochastic Submodular Optimization Problem. - Hyokun Yun; Michael Froh; Roshan Makhijani; Brian Luc; Alex Smola; Trishul Chilimbi (CoRR, 2020)

MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling. - Tarik Arici; Mehmet Saygin Seyfioglu; Tal Neiman; Yi Xu 011; Son Tran; Trishul Chilimbi; Belinda Zeng; Ismail B. Tutar (CoRR, 2021)

Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning. - Xuanli He; Iman Keivanloo; Yi Xu 011; Xiang He; Belinda Zeng; Santosh Rajagopalan; Trishul Chilimbi (CoRR, 2021)

MICO: Selective Search with Mutual Information Co-training. - Zhanyu Wang; Xiao Zhang; Hyokun Yun; Choon Hui Teo; Trishul Chilimbi (COLING, 2022)

Multi-modal Alignment using Representation Codebook. - Jiali Duan; Liqun Chen 001; Son Tran; Jinyu Yang; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2022)

Vision-Language Pre-Training with Triple Contrastive Learning. - Jinyu Yang; Jiali Duan; Son Tran; Yi Xu 011; Sampath Chanda; Liqun Chen 001; Belinda Zeng; Trishul Chilimbi; Junzhou Huang (CVPR, 2022)

DynaMaR: Dynamic Prompt with Mask Token Representation. - Xiaodi Sun; Sunny Rajagopalan; Priyanka Nigam; Weiyi Lu; Yi Xu 011; Iman Keivanloo; Belinda Zeng; Trishul Chilimbi (EMNLP (Industry Track), 2022)

Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks. - Weiyi Lu; Sunny Rajagopalan; Priyanka Nigam; Jaspreet Singh; Xiaodi Sun; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (NAACL-HLT (Industry Papers), 2022)

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. - Changyou Chen; Jianyi Zhang; Yi Xu 011; Liqun Chen 001; Jiali Duan; Yiran Chen 001; Son Tran; Belinda Zeng; Trishul Chilimbi (NeurIPS, 2022)

DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. - Aashiq Muhamed; Jaspreet Singh; Shuai Zheng 004; Iman Keivanloo; Sujan Perera; James Mracek; Yi Xu 011; Qingjun Cui; Santosh Rajagopalan; Belinda Zeng; Trishul Chilimbi (WWW (Companion Volume), 2022)

DynaMaR: Dynamic Prompt with Mask Token Representation. - Xiaodi Sun; Sunny Rajagopalan; Priyanka Nigam; Weiyi Lu; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CoRR, 2022)

Efficient and effective training of language and graph neural network models. - Vassilis N. Ioannidis; Xiang Song 003; Da Zheng; Houyu Zhang; Jun Ma 029; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; George Karypis (CoRR, 2022)

SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. - Chaoyang He 001; Shuai Zheng 004; Aston Zhang; George Karypis; Trishul Chilimbi; Mahdi Soltanolkotabi; Salman Avestimehr (CoRR, 2022)

MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud. - Zhen Zhang 063; Shuai Zheng 004; Yida Wang 003; Justin Chiu; George Karypis; Trishul Chilimbi; Mu Li 003; Xin Jin 008 (Proc. VLDB Endow., 2022)

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. - Jianyi Zhang; Aashiq Muhamed; Aditya Anantharaman; Guoyin Wang 002; Changyou Chen; Kai Zhong; Qingjun Cui; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Yiran Chen 001 (ACL (2), 2023)

SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. - Karan Samel; Houyu Zhang; Jun Ma 029; Haoming Jiang; Qing Ping; Sheng Wang 012; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (IEEE Big Data, 2023)

Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning. - Qian Jiang; Changyou Chen; Han Zhao 002; Liqun Chen 001; Qing Ping; Son Dinh Tran; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (CVPR, 2023)

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. - Zhan Shi; Guoyin Wang 002; Ke Bai 001; Jiwei Li 001; Xiang Li; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; Xiaodan Zhu 001 (EMNLP, 2023)

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. - Han Xie; Da Zheng; Jun Ma 029; Houyu Zhang; Vassilis N. Ioannidis; Xiang Song 003; Qing Ping; Sheng Wang 012; Carl Yang 001; Yi Xu 011; Belinda Zeng; Trishul Chilimbi (KDD, 2023)

Web-Scale Semantic Product Search with Large Language Models. - Aashiq Muhamed; Sriram Srinivasan 004; Choon Hui Teo; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; S. V. N. Vishwanathan (PAKDD (3), 2023)

VidLA: Video-Language Alignment at Scale. - Mamshad Nayeem Rizve; Fan Fei 002; Jayakrishnan Unnikrishnan; Son Tran; Benjamin Z. Yao; Belinda Zeng; Mubarak Shah; Trishul Chilimbi (CVPR, 2024)

Open Vocabulary Multi-label Video Classification. - Rohit Gupta 012; Mamshad Nayeem Rizve; Jayakrishnan Unnikrishnan; Ashish Tawari; Son Tran; Mubarak Shah; Benjamin Z. Yao; Trishul Chilimbi (ECCV (39), 2024)

X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs. - Sirnam Swetha; Jinyu Yang; Tal Neiman; Mamshad Nayeem Rizve; Son Tran; Benjamin Z. Yao; Trishul Chilimbi; Mubarak Shah (ECCV (6), 2024)

Evolutionary Contrastive Distillation for Language Model Alignment. - Julian Katz-Samuels; Zheng Li 018; Hyokun Yun; Priyanka Nigam; Yi Xu 011; Vaclav Petricek; Bing Yin; Trishul Chilimbi (EMNLP (Findings), 2024)

Robust Multi-Task Learning with Excess Risks. - Yifei He; Shiji Zhou; Guojun Zhang; Hyokun Yun; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Han Zhao 002 (ICML, 2024)

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. - Nicholas E. Corrado; Julian Katz-Samuels; Adithya M. Devraj; Hyokun Yun; Chao Zhang; Yi Xu 011; Yi Pan; Bing Yin; Trishul Chilimbi (ACL (1), 2025)

M-LLM Based Video Frame Selection for Efficient Video Understanding. - Kai Hu; Feng Gao; Xiaohan Nie; Peng Zhou; Son Tran; Tal Neiman; Lingyun Wang 005; Mubarak Shah; Raffay Hamid; Bing Yin; Trishul Chilimbi (CVPR, 2025)

CoLLM: A Large Language Model for Composed Image Retrieval. - Chuong Huynh; Jinyu Yang; Ashish Tawari; Mubarak Shah; Son Tran; Raffay Hamid; Trishul Chilimbi; Abhinav Shrivastava (CVPR, 2025)

ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations. - Yichuan Li 001; Xinyang Zhang 002; Chenwei Zhang; Mao Li; Tianyi Liu; Pei Chen; Yifan Gao 001; Kyumin Lee; Kaize Ding; Zhengyang Wang; Zhihan Zhang 001; Jingbo Shang; et al. (NAACL (Long Papers), 2025)

InfoPO: On Mutual Information Maximization for Large Language Model Alignment. - Teng Xiao; Zhen Ge; Sujay Sanghavi; Tian Wang; Julian Katz-Samuels; Marc Versage; Qingjun Cui; Trishul Chilimbi (NAACL (Long Papers), 2025)

DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models. - Shwetha Ram; Tal Neiman; Qianli Feng; Andrew Stuart; Son Tran; Trishul Chilimbi (WACV, 2025)