Large Language Models

In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models EMNLP 2024 In-Context Learning State Vector with Inner and Momentum Optimization NeurIPS 2024 In-Context Learning with Iterative Demonstration Selection EMNLP 2024 In-Context Learning with Representations: Contextual Generalization of Trained Transformers NeurIPS 2024 In-context Mixing (ICM): Code-mixed Prompts for Multilingual LLMs ACL 2024 In-Context Principle Learning from Mistakes ICML 2024 In-Context Reinforcement Learning for Variable Action Spaces ICML 2024 In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation ICML 2024 In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery ACL 2024 In-Context Unlearning: Language Models as Few-Shot Unlearners ICML 2024 In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering ICML 2024 Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases EMNLP 2024 “In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning EMNLP 2024 IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages ACL 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness NeurIPS 2024 Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024 InFact: A Strong Baseline for Automated Fact-Checking EMNLP 2024 InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance EMNLP 2024 InferCept: Efficient Intercept Support for Augmented Large Language Model Inference ICML 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024 Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs EMNLP 2024 Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024 Inference to the Best Explanation in Large Language Models ACL 2024 InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks ICML 2024 Information Parity: Measuring and Predicting the Multilingual Capabilities of Language Models EMNLP 2024