Summary of Improving Autoregressive Training with Dynamic Oracles, by Jianing Yang et al.
Improving Autoregressive Training with Dynamic Oraclesby Jianing Yang, Harshine Visvanathan, Yilin Wang, Xinyi Hu, Matthew…
Summary of Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification, by Yunzhen Feng et al.
Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verificationby Yunzhen Feng, Elvis Dohmatob, Pu…
Summary of Ceret: Cost-effective Extrinsic Refinement For Text Generation, by Jason Cai et al.
CERET: Cost-Effective Extrinsic Refinement for Text Generationby Jason Cai, Hang Su, Monica Sunkara, Igor Shalyminov,…
Summary of Sumie: a Synthetic Benchmark For Incremental Entity Summarization, by Eunjeong Hwang et al.
SUMIE: A Synthetic Benchmark for Incremental Entity Summarizationby Eunjeong Hwang, Yichao Zhou, Beliz Gunel, James…
Summary of Which Side Are You On? a Multi-task Dataset For End-to-end Argument Summarisation and Evaluation, by Hao Li et al.
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluationby Hao…
Summary of Exploring Robustness in Doctor-patient Conversation Summarization: An Analysis Of Out-of-domain Soap Notes, by Yu-wen Chen et al.
Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notesby Yu-Wen Chen, Julia…
Summary of Shotluck Holmes: a Family Of Efficient Small-scale Large Language Vision Models For Video Captioning and Summarization, by Richard Luo et al.
Shotluck Holmes: A Family of Efficient Small-Scale Large Language Vision Models For Video Captioning and…
Summary of Weak-to-strong Search: Align Large Language Models Via Searching Over Small Language Models, by Zhanhui Zhou et al.
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Modelsby Zhanhui Zhou, Zhixuan…
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…