Summary of On Subjective Uncertainty Quantification and Calibration in Natural Language Generation, by Ziyu Wang et al.
On Subjective Uncertainty Quantification and Calibration in Natural Language Generationby Ziyu Wang, Chris HolmesFirst submitted…
Summary of Mcsqa: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans, By Yusuke Sakai et al.
mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humansby Yusuke…
Summary of Fusionbench: a Comprehensive Benchmark Of Deep Model Fusion, by Anke Tang et al.
FusionBench: A Comprehensive Benchmark of Deep Model Fusionby Anke Tang, Li Shen, Yong Luo, Han…
Summary of Efficient Minimum Bayes Risk Decoding Using Low-rank Matrix Completion Algorithms, by Firas Trabelsi and David Vilar and Mara Finkelstein and Markus Freitag
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithmsby Firas Trabelsi, David Vilar, Mara…
Summary of Exact Conversion Of In-context Learning to Model Weights in Linearized-attention Transformers, by Brian K Chen et al.
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformersby Brian K Chen, Tianyang…
Summary of Multimax: Sparse and Multi-modal Attention Learning, by Yuxuan Zhou et al.
MultiMax: Sparse and Multi-Modal Attention Learningby Yuxuan Zhou, Mario Fritz, Margret KeuperFirst submitted to arxiv…
Summary of How Multilingual Are Large Language Models Fine-tuned For Translation?, by Aquia Richburg and Marine Carpuat
How Multilingual Are Large Language Models Fine-Tuned for Translation?by Aquia Richburg, Marine CarpuatFirst submitted to…
Summary of Hardware-aware Parallel Prompt Decoding For Memory-efficient Acceleration Of Llm Inference, by Hao Mark Chen et al.
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inferenceby Hao Mark Chen, Wayne Luk,…
Summary of Exploiting Llm Quantization, by Kazuki Egashira et al.
Exploiting LLM Quantizationby Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin VechevFirst submitted to…
Summary of Acceleration Of Grokking in Learning Arithmetic Operations Via Kolmogorov-arnold Representation, by Yeachan Park et al.
Acceleration of Grokking in Learning Arithmetic Operations via Kolmogorov-Arnold Representationby Yeachan Park, Minseok Kim, Yeoneung…