Crowded in B-Space: Calibrating Shared Directions for LoRA Merging
Paper • 2604.16826 • Published • 13
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Mind the Shift: Decoding Monetary Policy Stance from FOMC Statements with Large Language Models
FinMTEB: Finance Massive Text Embedding Benchmark
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InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning
Paper • 2309.13064 • Published • 1
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
Paper • 2401.15391 • Published • 6
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
Paper • 2406.10099 • Published
Pooling And Attention: What Are Effective Designs For LLm-Based Embedding Models?
Paper • 2409.02727 • Published • 1
Do We Need Domain-Specific Embedding Models? An Empirical Investigation
Paper • 2409.18511 • Published
FinMTEB: Finance Massive Text Embedding Benchmark
Paper • 2502.10990 • Published • 7