ArticleProceedings of the conference. Association for Computational Linguistics. Meeting2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.
Article in Proceedings of the conference. Association for Computational Linguistics. Meeting, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 179 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
179 citing papers in PubMed.
- Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative Study.Journal of imaging informatics in medicine · 2025Trial
- Personality Inference From Semistructured Interviews Using Large Language Models: Comparative Evaluation Study.Journal of medical Internet research · 2026Article
- Cue-Grounded Flight-Intent Understanding from Cinematic Air-Combat Scenes via Noise-Robust Multimodal Perception and Fusion.Sensors (Basel, Switzerland) · 2026Article
- Development and evaluation of a large language model-based, retrieval-augmented generation application for query response in early oncology clinical trials.ESMO real world data and digital oncology · 2026Article
- Bridging linguistic reasoning and biophysical reality toward peptide engineering via instruction-tuned language modeling.Bioinformatics (Oxford, England) · 2026Article
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- When machines misread science: creating guardrails for human and AI interpretation of biomedical research.NPJ digital medicine · 2026Article
- QGFace-LLaVA: Quality-Aware Controlled Fusion of Structured Side Information for Face Analysis Under Imperfect Metadata.Biomimetics (Basel, Switzerland) · 2026Article
- Cognitive Processes of Probabilistic Prediction in Reading: Language Model Surprisal Across Model Sizes, Token Granularity, and Reading Paradigms.Journal of Intelligence · 2026Article
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- TASRIC: A Type-Aware Semantic Retrieval Augmentation Framework With Iterative Correction for Bias Mitigation.Annals of the New York Academy of Sciences · 2026Article
- SteuerLLM: local specialized large language model for German tax law analysis.Scientific reports · 2026Article
- The Strategic Prompting Scale (SPS) for Measuring Metacognitive Regulation in Human-AI Interaction.Journal of Intelligence · 2026Article
- Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization.Proceedings of the conference. Association for Computational Linguistics. Meeting · 2026Article
- Six misconceptions about large language models: A minimal model and diagnostic taxonomy.PNAS nexus · 2026Article
- Advancing battery failure diagnosis by knowledge-augmented large language models.National science review · 2026Article
- Gradient-guided layerwise adaptive noise injection for pre-trained language model fine-tuning.Scientific reports · 2026Article
- Large language models for cancer registry abstraction: a real-world evaluation across models, variables, and cancer types.medRxiv : the preprint server for health sciences · 2026Article
- Medical Vision-Language Models: Existing Technologies, Clinical Applications and Future Directions.Sensors (Basel, Switzerland) · 2026Review
- Predicting ICU in-hospital mortality from text-encoded structured EHR data using adaptive transformer layer fusion.iScience · 2026Article
119 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Although pre-training has become a prevalent approach for addressing various biomedical tasks, the current efficacy of pre-trained models is hindered by their reliance on a limited scope of medical sources. This limitation results in data scarcity during pre-training and restricts the range of applicable downstream tasks. In response to these challenges, we develop
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.