Summary of Aigen: An Adversarial Approach For Instruction Generation in Vln, by Niyati Rawal et al.
AIGeN: An Adversarial Approach for Instruction Generation in VLNby Niyati Rawal, Roberto Bigazzi, Lorenzo Baraldi,…
Summary of Reinforcement Learning From Multi-role Debates As Feedback For Bias Mitigation in Llms, by Ruoxi Cheng et al.
Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMsby Ruoxi Cheng, Haoxuan…
Summary of Clasheval: Quantifying the Tug-of-war Between An Llm’s Internal Prior and External Evidence, by Kevin Wu and Eric Wu and James Zou
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidenceby Kevin Wu, Eric…
Summary of Understanding the Role Of Temperature in Diverse Question Generation by Gpt-4, By Arav Agarwal et al.
Understanding the Role of Temperature in Diverse Question Generation by GPT-4by Arav Agarwal, Karthik Mittal,…
Summary of Large Language Models and Linguistic Intentionality, by Jumbly Grindrod
Large language models and linguistic intentionalityby Jumbly GrindrodFirst submitted to arxiv on: 15 Apr 2024CategoriesMain:…
Summary of Uniaa: a Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmark, by Zhaokun Zhou et al.
UNIAA: A Unified Multi-modal Image Aesthetic Assessment Baseline and Benchmarkby Zhaokun Zhou, Qiulin Wang, Bin…
Summary of Linear Cross-document Event Coreference Resolution with X-amr, by Shafiuddin Rehan Ahmed et al.
Linear Cross-document Event Coreference Resolution with X-AMRby Shafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge,…
Summary of Mm-phyqa: Multimodal Physics Question-answering with Multi-image Cot Prompting, by Avinash Anand et al.
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Promptingby Avinash Anand, Janak Kapuriya, Apoorv Singh, Jay…
Summary of Optimal Path For Biomedical Text Summarization Using Pointer Gpt, by Hyunkyung Han et al.
Optimal path for Biomedical Text Summarization Using Pointer GPTby Hyunkyung Han, Jaesik ChoiFirst submitted to…
Summary of From Words to Numbers: Your Large Language Model Is Secretly a Capable Regressor When Given In-context Examples, by Robert Vacareanu et al.
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given…