Summary of Belief in the Machine: Investigating Epistemological Blind Spots Of Language Models, by Mirac Suzgun et al.
Belief in the Machine: Investigating Epistemological Blind Spots of Language Modelsby Mirac Suzgun, Tayfun Gur,…
Summary of Gender Bias in Llm-generated Interview Responses, by Haein Kong et al.
Gender Bias in LLM-generated Interview Responsesby Haein Kong, Yongsu Ahn, Sangyub Lee, Yunho MaengFirst submitted…
Summary of Fine-grained and Multi-dimensional Metrics For Document-level Machine Translation, by Yirong Sun et al.
Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translationby Yirong Sun, Dawei Zhu, Yanjun Chen, Erjia…
Summary of Locatebench: Evaluating the Locating Ability Of Vision Language Models, by Ting-rui Chiang et al.
LocateBench: Evaluating the Locating Ability of Vision Language Modelsby Ting-Rui Chiang, Joshua Robinson, Xinyan Velocity…
Summary of Think Carefully and Check Again! Meta-generation Unlocking Llms For Low-resource Cross-lingual Summarization, by Zhecheng Li et al.
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarizationby Zhecheng Li, Yiwei…
Summary of Integrating Large Language Models with Internet Of Things Applications, by Mingyu Zong et al.
Integrating Large Language Models with Internet of Things Applicationsby Mingyu Zong, Arvin Hekmati, Michael Guastalla,…
Summary of Little Giants: Synthesizing High-quality Embedding Data at Scale, by Haonan Chen et al.
Little Giants: Synthesizing High-Quality Embedding Data at Scaleby Haonan Chen, Liang Wang, Nan Yang, Yutao…
Summary of Unleashing Reasoning Capability Of Llms Via Scalable Question Synthesis From Scratch, by Yuyang Ding et al.
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratchby Yuyang Ding, Xinyu Shi,…
Summary of Logo — Long Context Alignment Via Efficient Preference Optimization, by Zecheng Tang et al.
LOGO – Long cOntext aliGnment via efficient preference Optimizationby Zecheng Tang, Zechen Sun, Juntao Li,…
Summary of Omniflatten: An End-to-end Gpt Model For Seamless Voice Conversation, by Qinglin Zhang et al.
OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversationby Qinglin Zhang, Luyao Cheng, Chong Deng,…