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Foundation Models

4845 directly classified papers

Papers per year

Papers

Information-theoretic generalization bounds for learning from quantum data COLT 2024

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation RSS 2024

FLAIR: Feeding via Long-Horizon AcquIsition of Realistic dishes RSS 2024

DrEureka: Language Model Guided Sim-To-Real Transfer RSS 2024

BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving Brainteasers SEMEVAL 2024

Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models SEMEVAL 2024

ZXQ at SemEval-2024 Task 7: Fine-tuning GPT-3.5-Turbo for Numerical Reasoning SEMEVAL 2024

LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2b SEMEVAL 2024

Discovering and Articulating Frames of Communication from Social Media Using Chain-of-Thought Reasoning EACL 2024

WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts EACL 2024

UP5: Unbiased Foundation Model for Fairness-aware Recommendation EACL 2024

MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks EACL 2024

RAGAs: Automated Evaluation of Retrieval Augmented Generation EACL 2024

Large Language Models for Mathematical Reasoning: Progresses and Challenges EACL 2024

A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models EACL 2024

Knowledge Generation for Zero-shot Knowledge-based VQA EACL 2024

Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge EACL 2024

Anchor Points: Benchmarking Models with Much Fewer Examples EACL 2024

𝜇PLAN: Summarizing using a Content Plan as Cross-Lingual Bridge EACL 2024

InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models EACL 2024

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model EMNLP 2023

ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook EMNLP 2023

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data EMNLP 2023

QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering EMNLP 2023

Mixture of Soft Prompts for Controllable Data Generation EMNLP 2023