Guangzhi Xiong

CoRR, October, 2025

GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability.

[BibT_eX]

[DOI]

CoRR, August, 2025

Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision.

[BibT_eX]

[DOI]

CoRR, February, 2025

Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs.

[BibT_eX]

[DOI]

CoRR, January, 2025

Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery.

[BibT_eX]

[DOI]

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers.

[BibT_eX]

[DOI]

Santiago Ferrière-Steinert

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MedCite: Can Language Models Generate Verifiable Text for Medicine?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine.

[BibT_eX]

[DOI]

Francisco Erramuspe Álvarez

CoRR, 2024

Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators.

[BibT_eX]

[DOI]

CoRR, 2024

IdeaBench: Benchmarking Large Language Models for Research Idea Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models.

[BibT_eX]

[DOI]

Eric Xie

CoRR, 2024

Demystifying Large Language Models for Medicine: A Primer.

[BibT_eX]

[DOI]

CoRR, 2024

Structural Causality-based Generalizable Concept Discovery Models.

[BibT_eX]

[DOI]

CoRR, 2024

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions.

[BibT_eX]

[DOI]

CoRR, 2024

DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.

[BibT_eX]

[DOI]

Bioinform., 2024

MedCalc-Bench: Evaluating Large Language Models for Medical Calculations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoLiDR: Concept Learning using Aggregated Disentangled Representations.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Self-explaining Neural Architecture for Generalizable Concept Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Embracing Foundation Models for Advancing Scientific Discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

Benchmarking Retrieval-Augmented Generation for Medicine.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq.

[BibT_eX]

[DOI]