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Collections including paper arxiv:2406.07496

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13, 2024 • 12
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15, 2024 • 24
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16, 2024 • 11
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21, 2024 • 13

TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11, 2024 • 28
Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Paper • 2305.03495 • Published May 4, 2023 • 1

Training Large Language Models to Reason in a Continuous Latent Space

Paper • 2412.06769 • Published Dec 9, 2024 • 74
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 54
ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights

Paper • 2406.14596 • Published Jun 20, 2024 • 5
A Comprehensive Survey of LLM Alignment Techniques: RLHF, RLAIF, PPO, DPO and More

Paper • 2407.16216 • Published Jul 23, 2024

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Paper • 2312.13382 • Published Dec 20, 2023 • 3
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Paper • 2310.03714 • Published Oct 5, 2023 • 33
TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11, 2024 • 28

TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11, 2024 • 28

TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11, 2024 • 28

Foundation AI Papers (II)

Iterative Reasoning Preference Optimization

Paper • 2404.19733 • Published Apr 30, 2024 • 48
Better & Faster Large Language Models via Multi-token Prediction

Paper • 2404.19737 • Published Apr 30, 2024 • 74
ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12, 2024 • 64
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30, 2024 • 109

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3, 2024 • 48
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 55
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22, 2024 • 24
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 34

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27, 2024 • 19
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Paper • 2402.16671 • Published Feb 26, 2024 • 27
Do Large Language Models Latently Perform Multi-Hop Reasoning?

Paper • 2402.16837 • Published Feb 26, 2024 • 25
Divide-or-Conquer? Which Part Should You Distill Your LLM?

Paper • 2402.15000 • Published Feb 22, 2024 • 22

Why do Learning Rates Transfer? Reconciling Optimization and Scaling Limits for Deep Learning

Paper • 2402.17457 • Published Feb 27, 2024
Curvature-Informed SGD via General Purpose Lie-Group Preconditioners

Paper • 2402.04553 • Published Feb 7, 2024
TextGrad: Automatic "Differentiation" via Text

Paper • 2406.07496 • Published Jun 11, 2024 • 28
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling

Paper • 2405.14578 • Published May 23, 2024 • 1

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