Molmo and PixMo
🔓 Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal ModelsThis research paper introduces Molmo, a new family of vision-language models (VLMs) that surpasses existing open-we...
18 Loka 20248min
Self-Taught Evaluators
🔄 Self-Taught EvaluatorsThis research paper explores the development of self-taught language model evaluators. Instead of relying on costly human annotations, this approach utilizes synthetic data ge...
18 Loka 20249min
Larger LLMs Become Less Reliable
⚠️ Larger and more instructable language models become less reliableThis research paper from Nature explores the relationship between the size and instructability of large language models (LLMs) and t...
18 Loka 202414min
Logic-of-Thought
💭 Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in LLMsThis research paper introduces Logic-of-Thought (LoT), a novel prompting method designed to enhance logical reasoning in la...
18 Loka 20248min
Moshi
🟢 Moshi: a speech-text foundation model for real-time dialogueThe paper discusses a new multimodal foundation model called Moshi designed for real-time, full-duplex spoken dialogue. This model uses a...
18 Loka 202410min
Jailbreaking Large Language Models with Symbolic Mathematics
🔑 Jailbreaking Large Language Models with Symbolic MathematicsThis research paper investigates a new vulnerability in AI safety mechanisms by introducing MathPrompt, a technique that utilizes symboli...
18 Loka 20246min
LLMs Still Can't Plan; Can LRMs?
📈 LLMs Still Can't Plan; Can LRMs?The paper "LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench" investigates the ability of large language models (LLMs) to plan, u...
18 Loka 20248min
A Comprehensive Evaluation of Quantized Instruction-Tuned LLMs
📏 A Comprehensive Evaluation of Quantized Instruction-Tuned LLMsThis paper, titled "A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405...
18 Loka 20248min
