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Foundation Models

4845 directly classified papers

Papers per year

Papers

Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models ACL 2023

Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests EMNLP 2023

Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning EMNLP 2023

ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind EMNLP 2023

Argument Detection in Student Essays under Resource Constraints EMNLP 2023

Test-Time Self-Adaptive Small Language Models for Question Answering EMNLP 2023

SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency EMNLP 2023

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations EMNLP 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model NIPS 2023

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections NIPS 2023

Direct Diffusion Bridge using Data Consistency for Inverse Problems NIPS 2023

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NIPS 2023

Quantum Bayesian Optimization NIPS 2023

VPGTrans: Transfer Visual Prompt Generator across LLMs NIPS 2023

Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks NIPS 2023

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion NIPS 2023

No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models NIPS 2023

On Sparse Modern Hopfield Model NIPS 2023

Scalable Transformer for PDE Surrogate Modeling NIPS 2023

LOVM: Language-Only Vision Model Selection NIPS 2023

Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model NIPS 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding NIPS 2023

Textually Pretrained Speech Language Models NIPS 2023

Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models NIPS 2023

Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning NIPS 2023