Summary of Bayesian Example Selection Improves In-context Learning For Speech, Text, and Visual Modalities, by Siyin Wang et al.
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalitiesby Siyin Wang, Chao-Han…
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalitiesby Siyin Wang, Chao-Han…
Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You…
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorizationby Zixuan Zhang, Revanth Gangi…
The Solution for the ICCV 2023 1st Scientific Figure Captioning Challengeby Dian Chao, Xin Song,…
Forward Learning for Gradient-based Black-box Saliency Map Generationby Zeliang Zhang, Mingqian Feng, Jinyang Jiang, Rongyi…
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuningby Changtong Zan, Liang Ding, Li Shen,…
Fuzzy Fault Trees Formalizedby Thi Kim Nhung Dang, Milan Lopuhaä-Zwakenberg, Mariëlle StoelingaFirst submitted to arxiv…
ACT-MNMT Auto-Constriction Turning for Multilingual Neural Machine Translationby Shaojie Dai, Xin Liu, Ping Luo, Yue…
FairBelief – Assessing Harmful Beliefs in Language Modelsby Mattia Setzu, Marta Marchiori Manerba, Pasquale Minervini,…
Likelihood-based Mitigation of Evaluation Bias in Large Language Modelsby Masanari Ohi, Masahiro Kaneko, Ryuto Koike,…