Trishul Chilimbi

50 papers A* 10A 2B 2Journal 25Unranked 11
YearRankTypeTitle / Venue / Authors
2025 — conf
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations.
NAACL (Long Papers)
Yichuan Li, Xinyang Zhang, Chenwei Zhang, Mao Li, Tianyi Liu, Pei Chen, Yifan Gao, Kyumin Lee, Kaize Ding, Zhengyang Wang, Zhihan Zhang, Jingbo Shang, Xian Li, Trishul Chilimbi
2025 — conf
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.
ACL (1)
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025 J jnl
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.
CoRR
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025 A* conf
CoLLM: A Large Language Model for Composed Image Retrieval.
CVPR
Chuong Huynh, Jinyu Yang, Ashish Tawari, Mubarak Shah, Son Tran, Raffay Hamid, Trishul Chilimbi, Abhinav Shrivastava
2025 J jnl
CoLLM: A Large Language Model for Composed Image Retrieval.
CoRR
Chuong Huynh, Jinyu Yang, Ashish Tawari, Mubarak Shah, Son Tran, Raffay Hamid, Trishul Chilimbi, Abhinav Shrivastava
2025 A conf
DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models.
WACV
Shwetha Ram, Tal Neiman, Qianli Feng, Andrew Stuart, Son Tran, Trishul Chilimbi
2025 A conf
Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval.
CIKM
Yuxiang Liu, Tian Wang, Gourab Kundu, Tianyu Cao, Guang Cheng, Zhen Ge, Jianshu Chen, Qingjun Cui, Trishul Chilimbi
2025 J jnl
Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval.
CoRR
Yuxiang Liu, Tian Wang, Gourab Kundu, Tianyu Cao, Guang Cheng, Zhen Ge, Jianshu Chen, Qingjun Cui, Trishul Chilimbi
2025 — conf
InfoPO: On Mutual Information Maximization for Large Language Model Alignment.
NAACL (Long Papers)
Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi
2025 J jnl
InfoPO: On Mutual Information Maximization for Large Language Model Alignment.
CoRR
Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi
2025 A* conf
M-LLM Based Video Frame Selection for Efficient Video Understanding.
CVPR
Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, Lingyun Wang, Mubarak Shah, Raffay Hamid, Bing Yin, Trishul Chilimbi
2025 J jnl
M-LLM Based Video Frame Selection for Efficient Video Understanding.
CoRR
Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, Lingyun Wang, Mubarak Shah, Raffay Hamid, Bing Yin, Trishul Chilimbi
2025 J jnl
SynerGen: Contextualized Generative Recommender for Unified Search and Recommendation.
CoRR
Vianne R. Gao, Chen Xue, Marc Versage, Xie Zhou, Zhongruo Wang, Chao Li, Yeon Seonwoo, Nan Chen, Zhen Ge, Gourab Kundu, Weiqi Zhang, Tian Wang, Qingjun Cui, Trishul Chilimbi
2024 J jnl
DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models.
CoRR
Shwetha Ram, Tal Neiman, Qianli Feng, Andrew Stuart, Son Tran, Trishul Chilimbi
2024 — conf
Evolutionary Contrastive Distillation for Language Model Alignment.
EMNLP (Findings)
Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024 J jnl
Evolutionary Contrastive Distillation for Language Model Alignment.
CoRR
Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024 J jnl
Open Vocabulary Multi-Label Video Classification.
CoRR
Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi
2024 — conf
Open Vocabulary Multi-label Video Classification.
ECCV (39)
Rohit Gupta, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Z. Yao, Trishul Chilimbi
2024 A* conf
Robust Multi-Task Learning with Excess Risks.
ICML
Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
2024 J jnl
Robust Multi-Task Learning with Excess Risks.
CoRR
Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao
2024 A* conf
VidLA: Video-Language Alignment at Scale.
CVPR
Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi
2024 J jnl
VidLA: Video-Language Alignment at Scale.
CoRR
Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi
2024 — conf
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.
ECCV (6)
Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Z. Yao, Trishul Chilimbi, Mubarak Shah
2024 J jnl
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.
CoRR
Sirnam Swetha, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Z. Yao, Trishul Chilimbi, Mubarak Shah
2023 A* conf
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.
KDD
Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023 J jnl
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.
CoRR
Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023 A* conf
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.
EMNLP
Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu
2023 — conf
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.
ACL (2)
Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen
2023 B conf
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce.
IEEE Big Data
Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023 A* conf
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.
CVPR
Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023 J jnl
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning.
CoRR
Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023 — conf
Web-Scale Semantic Product Search with Large Language Models.
PAKDD (3)
Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan
2022 — conf
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks.
NAACL-HLT (Industry Papers)
Weiyi Lu, Sunny Rajagopalan, Priyanka Nigam, Jaspreet Singh, Xiaodi Sun, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022 — conf
DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction.
WWW (Companion Volume)
Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi
2022 — conf
DynaMaR: Dynamic Prompt with Mask Token Representation.
EMNLP (Industry Track)
Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Iman Keivanloo, Belinda Zeng, Trishul Chilimbi
2022 J jnl
DynaMaR: Dynamic Prompt with Mask Token Representation.
CoRR
Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022 J jnl
Efficient and effective training of language and graph neural network models.
CoRR
Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis
2022 B conf
MICO: Selective Search with Mutual Information Co-training.
COLING
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
2022 J jnl
MICO: Selective Search with Mutual Information Co-training.
CoRR
Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi
2022 J jnl
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud.
CoRR
Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
2022 J jnl
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud.
Proc. VLDB Endow.
Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin
2022 A* conf
Multi-modal Alignment using Representation Codebook.
CVPR
Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022 J jnl
Multi-modal Alignment using Representation Codebook.
CoRR
Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2022 J jnl
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing.
CoRR
Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr
2022 A* conf
Vision-Language Pre-Training with Triple Contrastive Learning.
CVPR
Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang
2022 J jnl
Vision-Language Pre-Training with Triple Contrastive Learning.
CoRR
Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang
2022 A* conf
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective.
NeurIPS
Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi
2021 J jnl
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling.
CoRR
Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar
2021 J jnl
Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning.
CoRR
Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi
2020 J jnl
Tiering as a Stochastic Submodular Optimization Problem.
CoRR
Hyokun Yun, Michael Froh, Roshan Makhijani, Brian Luc, Alex Smola, Trishul Chilimbi