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Collections including paper arxiv:2404.02078

alignment_24_best

KTO: Model Alignment as Prospect Theoretic Optimization

Paper • 2402.01306 • Published Feb 2 • 14
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 45
SimPO: Simple Preference Optimization with a Reference-Free Reward

Paper • 2405.14734 • Published May 23 • 9
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment

Paper • 2408.06266 • Published Aug 12 • 9

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
PERL: Parameter Efficient Reinforcement Learning from Human Feedback

Paper • 2403.10704 • Published Mar 15 • 56
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations

Paper • 2403.09704 • Published Mar 8 • 31
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15 • 66

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 83
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16 • 15
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20 • 24
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14 • 25

Foundation Models

OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 79
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 59
StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 29
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 56

Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 43

papers-reasoning

Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 43
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

Paper • 2403.12881 • Published Mar 19 • 16

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Paper • 2402.10176 • Published Feb 15 • 34
Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 43

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 • 34
ReAct: Synergizing Reasoning and Acting in Language Models

Paper • 2210.03629 • Published Oct 6, 2022 • 14

Papers - University - Northeastern University

Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 43
Locating and Editing Factual Associations in Mamba

Paper • 2404.03646 • Published Apr 4 • 3
Locating and Editing Factual Associations in GPT

Paper • 2202.05262 • Published Feb 10, 2022 • 1
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30 • 108

Papers - University - University of Illinois

Advancing LLM Reasoning Generalists with Preference Trees

Paper • 2404.02078 • Published Apr 2 • 43
PointInfinity: Resolution-Invariant Point Diffusion Models

Paper • 2404.03566 • Published Apr 4 • 13
MonoPatchNeRF: Improving Neural Radiance Fields with Patch-based Monocular Guidance

Paper • 2404.08252 • Published Apr 12 • 5
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22 • 23

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