:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kolbeinsson, Arinbjorn, O'Brien, Kyle, Huang, Tianjin, Gao, Shanghua, Liu, Shiwei, Schwarz, Jonathan Richard, Vaidya, Anurag, Mahmood, Faisal, Zitnik, Marinka, Chen, Tianlong, Hartvigsen, Thomas
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language
Online Access:	https://arxiv.org/abs/2407.06483
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarial Negotiation Dynamics in Generative Language Models
by: Kolbeinsson, Arinbjörn, et al.
Published: (2024)

UniTS: A Unified Multi-Task Time Series Model
by: Gao, Shanghua, et al.
Published: (2024)

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
by: Gao, Shanghua, et al.
Published: (2026)

Qworld: Question-Specific Evaluation Criteria for LLMs
by: Gao, Shanghua, et al.
Published: (2026)

A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models
by: Huang, Zhongzhan, et al.
Published: (2025)

Stability-Aware Prompt Optimization for Clinical Data Abstraction
by: Kolbeinsson, Arinbjörn, et al.
Published: (2026)

Empowering Biomedical Discovery with AI Agents
by: Gao, Shanghua, et al.
Published: (2024)

MoExtend: Tuning New Experts for Modality and Task Extension
by: Zhong, Shanshan, et al.
Published: (2024)

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
by: Zhong, Shanshan, et al.
Published: (2023)

A Generative AI System for Biomedical Data Discovery with Grammar-Based Visualizations
by: Lange, Devin, et al.
Published: (2025)

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
by: Gao, Shanghua, et al.
Published: (2025)

Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies
by: Li, Kevin, et al.
Published: (2025)

Ken Utilization Layer: Hebbian Replay Within a Student's Ken for Adaptive Exercise Recommendation
by: Kuling, Grey, et al.
Published: (2025)

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
by: Su, Xiaorui, et al.
Published: (2024)

When Sensors Fail: Temporal Sequence Models for Robust PPO under Sensor Drift
by: Vogt-Lowell, Kevin, et al.
Published: (2026)

Multimodal Medical Code Tokenizer
by: Su, Xiaorui, et al.
Published: (2025)

STRAND: Sequence-Conditioned Transport for Single-Cell Perturbations
by: Fu, Boyang, et al.
Published: (2026)

Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
by: Jaume, Guillaume, et al.
Published: (2023)

Accelerating Data Processing and Benchmarking of AI Models for Pathology
by: Zhang, Andrew, et al.
Published: (2025)

MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
by: Ghosh, Rajarshi, et al.
Published: (2025)

Generalized Protein Pocket Generation with Prior-Informed Flow Matching
by: Zhang, Zaixi, et al.
Published: (2024)

YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery
by: Lange, Devin, et al.
Published: (2025)

Democratizing AI scientists using ToolUniverse
by: Gao, Shanghua, et al.
Published: (2025)

PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models
by: Velez-Arce, Alejandro, et al.
Published: (2025)

Graph Representation Learning in Biomedicine
by: Li, Michelle M., et al.
Published: (2021)

Multimodal Prototyping for cancer survival prediction
by: Song, Andrew H., et al.
Published: (2024)

ADMIRE-BayesOpt: Accelerated Data MIxture RE-weighting for Language Models with Bayesian Optimization
by: Chen, Shengzhuang, et al.
Published: (2025)

Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
by: Khanna, Sameer, et al.
Published: (2024)

Greater than the Sum of Its Parts: Building Substructure into Protein Encoding Models
by: Calef, Robert, et al.
Published: (2025)

SPATIA: Multimodal Generation and Prediction of Spatial Cell Phenotypes
by: Kong, Zhenglun, et al.
Published: (2025)

Improving Black-box Robustness with In-Context Rewriting
by: O'Brien, Kyle, et al.
Published: (2024)

The Director: A Composable Behaviour System with Soft Transitions
by: Sims, Ysobel, et al.
Published: (2023)

Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
by: Jin, Can, et al.
Published: (2023)

Transcriptomics-guided Slide Representation Learning in Computational Pathology
by: Jaume, Guillaume, et al.
Published: (2024)

Adaptive Time Series Reasoning via Segment Selection
by: Messica, Shvat, et al.
Published: (2026)

Protein Structure Tokenization via Geometric Byte Pair Encoding
by: Sun, Michael, et al.
Published: (2025)

PhylaFlow: Hybrid Flow Matching in Billera-Holmes-Vogtmann Tree Space for Phylogenetic Inference
by: Ektefaie, Yasha, et al.
Published: (2026)

Repurposing Foundation Model for Generalizable Medical Time Series Classification
by: Huang, Nan, et al.
Published: (2024)

The current regulatory framework governing business in Bulgaria / Thomas O'Brien, Christian Filipov
by: O'Brien, Thomas

How Scientists Use Large Language Models to Program
by: O'Brien, Gabrielle
Published: (2025)