Large Language Models

Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ACL 2023 MEGA: Multilingual Evaluation of Generative AI EMNLP 2023 Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service EMNLP 2023 Meta-Learning Online Adaptation of Language Models EMNLP 2023 MindGames: Targeting Theory of Mind in Large Language Models with Dynamic Epistemic Modal Logic EMNLP 2023 Mind's Eye: Grounded Language Model Reasoning through Simulation ICLR 2023 Mind the Biases: Quantifying Cognitive Biases in Language Model Prompting ACL 2023 Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training ACL 2023 Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation ACL 2023 Mixture-of-Linguistic-Experts Adapters for Improving and Interpreting Pre-trained Language Models EMNLP 2023 MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering EMNLP 2023 Modular Visual Question Answering via Code Generation ACL 2023 Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design EMNLP 2023 Multi-Dimensional Evaluation of Text Summarization with In-Context Learning ACL 2023 Multilingual Coarse Political Stance Classification of Media. The Editorial Line of a ChatGPT and Bard Newspaper EMNLP 2023 Multilingual Language Models are not Multicultural: A Case Study in Emotion ACL 2023 Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment ACL 2023 Multi-step Jailbreaking Privacy Attacks on ChatGPT EMNLP 2023 MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting ACL 2023 Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference EMNLP 2023 NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails EMNLP 2023 NEWTON: Are Large Language Models Capable of Physical Reasoning? EMNLP 2023 NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark EMNLP 2023 Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance EMNLP 2023 Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis EMNLP 2023