Ep. 32 - October 25, 2023

arXiv research summaries for Computation and Language from October 25, 2023. You can find summaries and links to each article ⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠. Today's Theme (LLM-Generated) Evaluating capabilities and limitations of large language models (LLMs) like ChatGPT and GPT-4 through tasks such as reasoning, summarization, and parsing. Improving alignment and control of LLMs through techniques like reinforcement learning from human feedback, supervised iterative learning, and contextualized prompt optimization. Enhancing fairness, interpretability, and transparency of models through bias mitigation, rationale extraction, and pretraining data detection. Advancing multilingual and multimodal models through pretraining, benchmarking, and adapting models like mBERT to new languages and modalities. Quantization and efficiency improvements for deploying large models through methods like post-training 4-bit floating point quantization.