Computation and Language · Computer Science
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
Zehua Liu, Han Wu, Yuxuan Yao, Ruifeng She +3
2025-05-26
Artificial Intelligence · Computer Science
ChartAnchor: Chart Grounding with Structural-Semantic Fidelity
Xinhang Li, Jingbo Zhou, Pengfei Luo, Yixiong Xiao +1
2026-02-02
Computer Vision and Pattern Recognition · Computer Science
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
Dimity Miller, Feras Dayoub, Michael Milford, Niko Sünderhauf
2019-03-08
Computation and Language · Computer Science
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Biao Zhang, Zhongtao Liu, Colin Cherry, Orhan Firat
2024-02-28
Computation and Language · Computer Science
Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration
Eliya Habba, Itay Itzhak, Asaf Yehudai, Yotam Perlitz +4
2026-04-16
Statistics Theory · Mathematics
Permutation-based multiple testing when fitting many generalized linear models
Riccardo De Santis, Jelle J. Goeman, Samuel Davenport, Jesse Hemerik +1
2024-10-07
Computation and Language · Computer Science
MERIT: Matching Expertise via Rubric-Informed Training for Reviewer Assignment
Zixuan Yang, Yibo Zhao, Weicong Liu, Xiang Li
2026-05-28
Artificial Intelligence · Computer Science
Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models
Qiyuan Zhang, Yufei Wang, Tianhe Wu, Can Xu +4
2026-03-03
Computer Vision and Pattern Recognition · Computer Science
Multi-level Cross-modal Alignment for Image Clustering
Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai
2024-01-23
Machine Learning · Computer Science
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami, Pietro Buzzega, Matteo Mosconi, Jacopo Bonato +2
2025-03-11
Machine Learning · Computer Science
On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods
Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
2023-09-21
Machine Learning · Statistics
SPRITE: A Response Model For Multiple Choice Testing
Ryan Ning, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk
2015-01-14
Computation and Language · Computer Science
SMITE: Enhancing Fairness in LLMs through Optimal In-Context Example Selection via Dynamic Validation
Garima Chhikara, Kripabandhu Ghosh, Abhijnan Chakraborty
2025-08-26
Artificial Intelligence · Computer Science
FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models
Xucong Wang, Pengkun Wang, Zhe Zhao, Liheng Yu +2
2026-05-28