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Collections including paper arxiv:2311.05657

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning

Paper • 2312.14878 • Published Dec 22, 2023 • 11
War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Paper • 2311.17227 • Published Nov 28, 2023
Voyager: An Open-Ended Embodied Agent with Large Language Models

Paper • 2305.16291 • Published May 25, 2023 • 8
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 26

ibm/AttaQ

Viewer • Updated Jan 26 • 1.46k • 5
ibm/merlinite-7b

Text Generation • Updated Mar 5 • 13.2k • 99
microsoft/Orca-2-13b

Text Generation • Updated Nov 22, 2023 • 19.9k • 651
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11 • 2 • 9

Foundation AI Papers

Curated List of Must-Reads on LLM reasoning at Temus AI team

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Paper • 2310.04406 • Published Oct 6, 2023 • 8
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15 • 91
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization

Paper • 2402.09320 • Published Feb 14 • 6
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 102

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 2 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 20
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 74
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 22

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 26
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 19
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 62

Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities

Paper • 2311.05698 • Published Nov 9, 2023 • 6
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Paper • 2311.06243 • Published Nov 10, 2023 • 17
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 26

Multi-agent frameworks

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 26
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework

Paper • 2308.08155 • Published Aug 16, 2023 • 2

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs

Paper • 2311.05657 • Published Nov 9, 2023 • 26
GAIA: a benchmark for General AI Assistants

Paper • 2311.12983 • Published Nov 21, 2023 • 171

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 27
Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 25
zhihan1996/DNABERT-2-117M

Updated Mar 18 • 139k • 28
AIRI-Institute/gena-lm-bert-base

Updated Jul 4, 2023 • 51 • 27

Ziya2: Data-centric Learning is All LLMs Need

Paper • 2311.03301 • Published Nov 6, 2023 • 16
Co-training and Co-distillation for Quality Improvement and Compression of Language Models

Paper • 2311.02849 • Published Nov 6, 2023 • 2
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning

Paper • 2311.02303 • Published Nov 4, 2023 • 4
ADaPT: As-Needed Decomposition and Planning with Language Models

Paper • 2311.05772 • Published Nov 8, 2023 • 8

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