Foundation Models
5,277 papers
Papers per year
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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