Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation Paper • 2409.12941 • Published Sep 19 • 20
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models Paper • 2401.06066 • Published Jan 11 • 42
view article Article makeMoE: Implement a Sparse Mixture of Experts Language Model from Scratch By AviSoori1x • May 7 • 39
view article Article Sparse Mixture of Experts Language Model from Scratch: Extending makeMoE with Expert Capacity By AviSoori1x • Mar 18 • 7
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities Paper • 2407.14482 • Published Jul 19 • 24
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models Paper • 2407.12772 • Published Jul 17 • 33
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models Paper • 2407.09025 • Published Jul 12 • 128
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist Paper • 2407.08733 • Published Jul 11 • 20
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries Paper • 2406.12824 • Published Jun 18 • 20
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools Paper • 2406.12793 • Published Jun 18 • 31
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning Paper • 2406.09170 • Published Jun 13 • 24
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild Paper • 2406.04770 • Published Jun 7 • 26
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning Paper • 2406.04520 • Published Jun 6 • 10