Top ML Papers of the Week (Aug 28 – Sep 3): – AnomalyGPT
– SAM-Med2D
– Graph of Thoughts
– Factuality Detection in LLMs
– Large Language and Speech Model
– Vector Search with OpenAI Embeddings
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@dair_ai
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Top ML Research Papers: AnomalyGPT, SAM-Med2D, Graph of Thoughts
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Language-to-Rewards System for Robotic Skill Synthesis
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10/ Language to Rewards for Robotic Skill Synthesis – proposes a new language-to-reward system that utilizes LLMs to define optimizable reward parameters to achieve a variety of robotic tasks.https://t.co/8ztl4MMyjS
— DAIR.AI (@dair_ai) 27 août 202310/ Language to Rewards for Robotic Skill Synthesis – proposes a new language-to-reward system that utilizes LLMs to define optimizable reward parameters to achieve a variety of robotic tasks.
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LegalBench: Legal Reasoning Benchmark for LLMs
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9/ LegalBench – a collaboratively constructed benchmark for measuring legal reasoning in LLMs; it consists of 162 tasks covering 6 different types of legal reasoning.
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Prompt2Model: Automated Small Model Training Pipeline
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8/ Prompt2Model – takes a prompt describing a task and trains a small model that is conducive to deployment; the pipeline automatically collects and synthesizes knowledge through three channels: dataset retrieval, dataset generation, and model retrieval.
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Survey of LLM-Based Autonomous Agents and Applications
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7/ A Survey on LLM-based Autonomous Agents – presents a survey of LLM-based autonomous agents; delivers a systematic review of the field and a summary of various applications of LLM-based AI agents in domains like social science and engineering.
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IT3D: Multi-View Synthesis for Enhanced Text-to-3D Generation
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6/ IT3D – presents a strategy that leverages explicitly synthesized multi-view images to improve Text-to-3D generation; integrates a discriminator along a Diffusion-GAN dual training strategy to guide the training of the 3D models.
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Giraffe: Extended Context Length LLMs from Llama Base Models
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5/ Giraffe – new models that are fine-tuned from base Llama and Llama 2; extends the context length to 4K, 16K, and 32K; explores the space of expanding context lengths in LLMs so it also includes insights useful for practitioners and researchers.
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Survey on Instruction Tuning Methods for Large Language Models
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2/ Survey on Instruction Tuning for LLMs – new survey paper on instruction tuning LLM, including a systematic review of the literature, methodologies, dataset construction, training models, applications, and more.
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SeamlessM4T: Unified Multilingual Multimodal Machine Translation System
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3/ SeamlessM4T – a unified multilingual and multimodal machine translation system that supports ASR, text-to-text translation, speech-to-text translation, text-to-speech translation, and speech-to-speech translation.
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LLM Security: Identifying Threats and Building Robust Systems
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4/ Use of LLMs for Illicit Purposes – provides an overview of existing efforts to identify and mitigate threats and vulnerabilities arising from LLMs; serves as a guide to building more reliable and robust LLM-powered systems.