Cohere has introduced a new framework for evaluating Large Language Models (LLMs) called the Panel of LLM Evaluators (PoLL), led by @pat_verga. This approach replaces the traditional single-model evaluation system with a panel of diverse, smaller LLMs, aiming to reduce biases and increase accuracy in assessments. The PoLL system has been shown to be less biased, faster, and seven times cheaper than previous methods. It has been particularly effective in QA and Arena-hard evaluations. Additionally, the OpenBioLLM-Llama3 models (70B and 8B) have outperformed competitors like GPT-4 and Gemini in the medical domain, showcasing superior performance in medical AI benchmarks. Notably, a full relabeling of MedQA revealed that 7.4% of questions are unfit for evaluation.
This AI Research from Cohere Discusses Model Evaluation Using a Panel of Large Language Models Evaluators (PoLL) It showed how a Panel of LLM Evaluators composed of smaller models is not only an effective method for evaluating LLM performance, but also reduces intra-model bias,… https://t.co/I61PYlJexp
Cohere introduces PoLL, a novel LLM evaluation framework #accuracy #AI #AItechnology #artificialintelligence #Bias #Cohere #decentralized #Evaluation #llm #machinelearning #PoLL https://t.co/HsMWv7LLJB https://t.co/Ep4kJUcrYr
SEED-Bench-2-Plus: The Ultimate Test for Multimodal Large Language Models (MLLMs) in Text-Heavy Environments #AI #AItechnology #artificialintelligence #evaluationframework #llm #machinelearning #MLLMs #MultimodalLargeLanguageModels https://t.co/MEmK8fL9AJ https://t.co/f9rOld6YHc
OpenBioLLM-Llama3-70B & 8B: Pioneering Advancements in Medical AI #AI #artificialintelligence #benchmarks #biomedicaldatasets #DirectPreferenceOptimization #DPO #effectiveness #Finetuning #Gemini #GPT4 #Healthcare #LLama370B&8Bmodels #llm https://t.co/YyKBh1Sx2H https://t.co/pzDTeP8KRF
Excited to announce Med-Gemini, demonstrating a new SOTA on MedQA, multimodal and long-context abilities - https://t.co/YCzg9RmZ5W I particularly want to highlight our full relabeling of MedQA, revealing that 7.4% of questions are unfit for evaluation. A short thread: https://t.co/2YFmPSrXow
LLMs as a judge has been widely accepted as a workable replacement of human eval but relying on a single model introduces systematic bias. Happy to share a new paper from our team led by @pat_verga that shows a panel of models as judge offers a more accurate and cheaper solution. https://t.co/QijUG0tt0c
New paper from our team, led by @pat_verga Are you: * Doing evaluation with LLMs? * Using a huge model? * Worried about self-recognition? Try an ensemble of smaller LLMs. Use a PoLL: less biased, faster, 7x cheaper. Works great on QA & Arena-hard evals https://t.co/Lhvx5GN8I8 https://t.co/3dbmbVhEZC
LLMs-as-Juries? A better way to automatically evaluate LLMs? 👨⚖️ LLM-as-a-judge refers to LLMs to evaluate the performance or quality of other LLMs. 🤔 @cohere released a new paper exploring the results of replacing a single LLM “as Judge” with multiple LLMs “Juries” where they… https://t.co/AGiGGguAAa
Llama-3-based OpenBioLLM-Llama3-70B and 8B: Outperforming GPT-4, Gemini, Meditron-70B, Med-PaLM-1 and Med-PaLM-2 in Medical-Domain Quick read: https://t.co/5G5RJ4jMyM Open Medical-LLM Leaderboard: https://t.co/B75cECnGaZ OpenBioLLM-70B project page: https://t.co/wUWOon4Lxg… https://t.co/87DkbngGWM
Replacing Judges with Juries Evaluating LLM Generations with a Panel of Diverse Models As Large Language Models (LLMs) have become more advanced, they have outpaced our abilities to accurately evaluate their quality. Not only is finding data to adequately probe https://t.co/XQtPmuqTOd
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models abs: https://t.co/vrWLMNDPF5 This paper from Cohere proposes to evaluate models using a Panel of LLm evaluators (PoLL). "we find that using a PoLL composed of a larger number of smaller… https://t.co/rMnRDDoHdo