Summary of Mapo: Boosting Large Language Model Performance with Model-adaptive Prompt Optimization, by Yuyan Chen et al.
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimizationby Yuyan Chen, Zhihao Wen, Ge…
Summary of Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques, by Anar Yeginbergen and Maite Oronoz and Rodrigo Agerri
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniquesby Anar Yeginbergen, Maite Oronoz,…
Summary of Stoc-tot: Stochastic Tree-of-thought with Constrained Decoding For Complex Reasoning in Multi-hop Question Answering, by Zhenyu Bi et al.
STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answeringby Zhenyu Bi,…
Summary of Do Generalised Classifiers Really Work on Human Drawn Sketches?, by Hmrishav Bandyopadhyay et al.
Do Generalised Classifiers really work on Human Drawn Sketches?by Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan…
Summary of Semiollm: Assessing Large Language Models For Semiological Analysis in Epilepsy Research, by Meghal Dani et al.
SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Researchby Meghal Dani, Muthu Jeyanthi…
Summary of Exploring the Role Of Transliteration in In-context Learning For Low-resource Languages Written in Non-latin Scripts, by Chunlan Ma et al.
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scriptsby…
Summary of Certainly Uncertain: a Benchmark and Metric For Multimodal Epistemic and Aleatoric Awareness, by Khyathi Raghavi Chandu et al.
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awarenessby Khyathi Raghavi Chandu,…
Summary of Retrieval-augmented Generation in Multilingual Settings, by Nadezhda Chirkova et al.
Retrieval-augmented generation in multilingual settingsby Nadezhda Chirkova, David Rau, Hervé Déjean, Thibault Formal, Stéphane Clinchant,…
Summary of Embedded Prompt Tuning: Towards Enhanced Calibration Of Pretrained Models For Medical Images, by Wenqiang Zu and Shenghao Xie and Qing Zhao and Guoqi Li and Lei Ma
Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Imagesby Wenqiang Zu, Shenghao…
Summary of Uncertainty Quantification in Large Language Models Through Convex Hull Analysis, by Ferhat Ozgur Catak and Murat Kuzlu
Uncertainty Quantification in Large Language Models Through Convex Hull Analysisby Ferhat Ozgur Catak, Murat KuzluFirst…