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Aligning (Medical) LLMs for (Counterfactual) Fairness
Large Language Models (LLMs) have emerged as promising solutions for a variety of
medical and clinical decision support applications. However, LLMs are often subject to …
medical and clinical decision support applications. However, LLMs are often subject to …
Large Concept Models: Language Modeling in a Sentence Representation Space
LLMs have revolutionized the field of artificial intelligence and have emerged as the de-facto
tool for many tasks. The current established technology of LLMs is to process input and …
tool for many tasks. The current established technology of LLMs is to process input and …
Training Sparse Mixture Of Experts Text Embedding Models
Transformer-based text embedding models have improved their performance on
benchmarks like MIRACL and BEIR by increasing their parameter counts. However, this …
benchmarks like MIRACL and BEIR by increasing their parameter counts. However, this …
Using Embeddings to Improve Named Entity Recognition Classification with Graphs
Richer information has potential to improve performance of NLP (Natural Language
Processing) tasks such as Named Entity Recognition. A linear sequence of words can be …
Processing) tasks such as Named Entity Recognition. A linear sequence of words can be …
LLM-Cite: Cheap Fact Verification with Attribution via URL Generation
N Joshi, A Taly, D Muppalla - openreview.net
Hallucinations are one of the main issues with Large Language Models (LLMs). This has led
to increased interest in automated ways to verify the factuality of LLMs' responses. Existing …
to increased interest in automated ways to verify the factuality of LLMs' responses. Existing …