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Collections including paper arxiv:2402.17753

Collection of resources related to Agents.

Communicative Agents for Software Development

Paper • 2307.07924 • Published Jul 16, 2023 • 2
Self-Refine: Iterative Refinement with Self-Feedback

Paper • 2303.17651 • Published Mar 30, 2023 • 2
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Paper • 2312.10003 • Published Dec 15, 2023 • 32
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 13

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Paper • 2403.04132 • Published Mar 7 • 38
Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17
The FinBen: An Holistic Financial Benchmark for Large Language Models

Paper • 2402.12659 • Published Feb 20 • 13
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization

Paper • 2402.13249 • Published Feb 20 • 10

+Context Scaling

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17
Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19
Resonance RoPE: Improving Context Length Generalization of Large Language Models

Paper • 2403.00071 • Published Feb 29 • 19
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences

Paper • 2403.09347 • Published Mar 14 • 20

about 16 hours ago

ibm/AttaQ

Viewer • Updated Jan 26 • 1.4k • 1.35k • 7
ibm/merlinite-7b

Text Generation • Updated Mar 5 • 8.81k • 101
microsoft/Orca-2-13b

Text Generation • Updated Nov 22, 2023 • 16.7k • 658
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11 • 3 • 9

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Paper • 2402.16671 • Published Feb 26 • 26
Do Large Language Models Latently Perform Multi-Hop Reasoning?

Paper • 2402.16837 • Published Feb 26 • 24
Divide-or-Conquer? Which Part Should You Distill Your LLM?

Paper • 2402.15000 • Published Feb 22 • 22

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17

Papers - Conversations

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 32
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Paper • 2402.16822 • Published Feb 26 • 15
FuseChat: Knowledge Fusion of Chat Models

Paper • 2402.16107 • Published Feb 25 • 36
Multi-LoRA Composition for Image Generation

Paper • 2402.16843 • Published Feb 26 • 28

papaer selecting

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Paper • 2402.14083 • Published Feb 21 • 43
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 6
Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 574

Evals & Monitoring

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Paper • 2303.16634 • Published Mar 29, 2023 • 1
miracl/miracl-corpus

Viewer • Updated Jan 5, 2023 • 77.2M • 4.68k • 39
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena

Paper • 2306.05685 • Published Jun 9, 2023 • 25
How is ChatGPT's behavior changing over time?

Paper • 2307.09009 • Published Jul 18, 2023 • 22

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