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Foundation Models

5,277 papers

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Papers

Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly EMNLP 2024 Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations NAACL 2024 Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation NeurIPS 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following AAAI 2024 Investigating the Emergent Audio Classification Ability of ASR Foundation Models NAACL 2024 Is artificial intelligence still intelligence? LLMs generalize to novel adjective-noun pairs, but don’t mimic the full human distribution EMNLP 2024 Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization COLING 2024 IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance AAAI 2024 ISEP_Presidency_University at MLSP 2024 Shared Task: Using GPT-3.5 to Generate Substitutes for Lexical Simplification NAACL 2024 Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP EMNLP 2024 Is Mamba Capable of In-Context Learning? AutoML 2024 Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning NAACL 2024 Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering EMNLP 2024 Iterative Reasoning Preference Optimization NeurIPS 2024 Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback ACL 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ICLR 2024 Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains COLING 2024 J-UniMorph: Japanese Morphological Annotation through the Universal Feature Schema NAACL 2024 KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024 KidLM: Advancing Language Models for Children – Early Insights and Future Directions EMNLP 2024 KIT-19: A Comprehensive Korean Instruction Toolkit on 19 Tasks for Fine-Tuning Korean Large Language Models COLING 2024 KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model EMNLP 2024 KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024 “Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation EMNLP 2024