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Papers
A Rapid Test for Accuracy and Bias of Face Recognition Technology
WACV 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
ACL 2025
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis
EMNLP 2024
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
ICML 2024
Generative Dictionary: Improving Language Learner Understanding with Contextual Definitions
EMNLP 2024
GIL-IIMAS UNAM at SemEval-2024 Task 1: SAND: An In Depth Analysis of Semantic Relatedness Using Regression and Similarity Characteristics
SemEval 2024
Let Models Speak Ciphers: Multiagent Debate through Embeddings
ICLR 2024
Tell Me Again! a Large-Scale Dataset of Multiple Summaries for the Same Story
COLING 2024
Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios
COLING 2024
Unmasking the Hidden Meaning: Bridging Implicit and Explicit Hate Speech Embedding Representations
EMNLP 2023
OccuSeg: Occupancy-Aware 3D Instance Segmentation
CVPR 2020
End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization
CVPR 2019
Model Comparison for Semantic Grouping
ICML 2019
Efficient end-to-end learning for quantizable representations
ICML 2018
Learning Steady-States of Iterative Algorithms over Graphs
ICML 2018