BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process

ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records

POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking

Knowledge-Infused Prompting Improves Clinical Text Generation with Large Language Models

Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making

DF2: Distribution-Free Decision-Focused Learning

AdaPlanner: Adaptive Planning from Feedback with Language Models

ToolQA: A Dataset for LLM Question Answering with External Tools

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer

Autoregressive Diffusion Model for Graph Generation

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval

End-to-End Stochastic Optimization with Energy-Based Model

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select

Calibrated language model fine-tuning for in-and out-of-distribution data

EXAM: An Explainable Attention-based Model for COVID-19 Automatic Diagnosis