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Xueqing 

updated 2 datasets 2 days ago

TheFinAI/MED_SYN2_SWITZERLAND_train

Viewer • Updated 2 days ago • 18.1k • 118

TheFinAI/MED_SYN2_HUNGARIAN_train

Viewer • Updated 2 days ago • 20.1k • 109

jiminHuang 

updated a Space 2 days ago

Running

2

2

Open Financial LLM Leaderboard

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Evaluating LLMs on Multilingual Multimodal Financial Tasks

Xueqing 

authored 5 papers 4 days ago

Me LLaMA: Foundation Large Language Models for Medical Applications

Paper • 2402.12749 • Published Feb 20, 2024 • 2

INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent

Paper • 2412.18174 • Published Dec 24, 2024

Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance

Paper • 2502.08127 • Published Feb 12 • 57

Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance

Paper • 2502.18772 • Published Feb 26 • 34

FinTagging: An LLM-ready Benchmark for Extracting and Structuring Financial Information

Paper • 2505.20650 • Published 11 days ago • 13

sheryc 

authored a paper 5 days ago

System-1.5 Reasoning: Traversal in Language and Latent Spaces with Dynamic Shortcuts

Paper • 2505.18962 • Published 13 days ago • 12

YanAdjeNole 

authored 3 papers 9 days ago

FinTagging: An LLM-ready Benchmark for Extracting and Structuring Financial Information

Paper • 2505.20650 • Published 11 days ago • 13

Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance

Paper • 2502.08127 • Published Feb 12 • 57

Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance

Paper • 2502.18772 • Published Feb 26 • 34

sheryc 

authored a paper 10 days ago

STRICT: Stress Test of Rendering Images Containing Text

Paper • 2505.18985 • Published 13 days ago

clefourrier 

posted an update 19 days ago

view post

Post

611

Always surprised that so few people actually read the FineTasks blog, on
✨how to select training evals with the highest signal✨

If you're serious about training models without wasting compute on shitty runs, you absolutely should read it!!

An high signal eval actually tells you precisely, during training, how wel & what your model is learning, allowing you to discard the bad runs/bad samplings/...!

The blog covers in depth prompt choice, metrics, dataset, across languages/capabilities, and my fave section is "which properties should evals have"👌
(to know on your use case how to select the best evals for you)

Blog: HuggingFaceFW/blogpost-fine-tasks

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nuojohnchen 

authored a paper 19 days ago

XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision

Paper • 2505.11336 • Published 21 days ago • 6

sheryc 

authored 3 papers 22 days ago

FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval

Paper • 2410.21012 • Published Oct 28, 2024

R$^3$Mem: Bridging Memory Retention and Retrieval via Reversible Compression

Paper • 2502.15957 • Published Feb 21

GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks

Paper • 2504.12764 • Published Apr 17 • 41

sheryc 

authored a paper 2 months ago

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Paper • 2504.01990 • Published Mar 31 • 285

nuojohnchen 

authored a paper 2 months ago

Apollo: Lightweight Multilingual Medical LLMs towards Democratizing Medical AI to 6B People

Paper • 2403.03640 • Published Mar 6, 2024 • 2