Trishul Chilimbi
18 papers · 2014–2025 · 8 conferences · across top CS/AI conferences
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Keyword Collector
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Conferences
CVPR (6)
EMNLP (3)
NAACL (3)
ACL (2)
COLING (1)
ICML (1)
NIPS (1)
OSDI (1)
Top co-authors
Keywords
contrastive learning
(6)
knowledge distillation
(5)
mutual information
(3)
large language model
(3)
direct preference optimization
(3)
representation learning
(3)
video understanding
(2)
multi-task learning
(2)
zero-shot learning
(2)
preference datum
(2)
semantic similarity
(2)
multi-modal learning
(2)
cross-modal retrieval
(2)
vision-language representation
(2)
information retrieval
(1)
question answering
(1)
natural language generation
(1)
few-shot learning
(1)
visual reasoning
(1)
self-supervised learning
(1)
Papers
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs
ACL 2025
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025
InfoPO: On Mutual Information Maximization for Large Language Model Alignment
NAACL 2025
CoLLM: A Large Language Model for Composed Image Retrieval
CVPR 2025
M-LLM Based Video Frame Selection for Efficient Video Understanding
CVPR 2025
Evolutionary Contrastive Distillation for Language Model Alignment
EMNLP 2024
Robust Multi-Task Learning with Excess Risks
ICML 2024
VidLA: Video-Language Alignment at Scale
CVPR 2024
OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding
EMNLP 2023
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
CVPR 2023
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models
ACL 2023
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective
NIPS 2022
MICO: Selective Search with Mutual Information Co-training
COLING 2022
Multi-Modal Alignment Using Representation Codebook
CVPR 2022
Vision-Language Pre-Training With Triple Contrastive Learning
CVPR 2022
DynaMaR: Dynamic Prompt with Mask Token Representation
EMNLP 2022
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks
NAACL 2022
Project Adam: Building an Efficient and Scalable Deep Learning Training System
OSDI 2014