Summary of Tear: Improving Llm-based Machine Translation with Systematic Self-refinement, by Zhaopeng Feng et al.
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinementby Zhaopeng Feng, Yan Zhang, Hao Li, Bei…
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinementby Zhaopeng Feng, Yan Zhang, Hao Li, Bei…
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Propertyby Shiwen Ni, Minghuan…
Defending LLMs against Jailbreaking Attacks via Backtranslationby Yihan Wang, Zhouxing Shi, Andrew Bai, Cho-Jui HsiehFirst…
How Do Humans Write Code? Large Models Do It the Same Way Tooby Long Li,…
GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluationby Yi Zong, Xipeng QiuFirst submitted to…
Intelligent Director: An Automatic Framework for Dynamic Visual Composition using ChatGPTby Sixiao Zheng, Jingyang Huo,…
Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokensby…
TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without…
Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learningby…
Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Modelsby Haoran…