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Collections including paper arxiv:2401.14953

Fundational - Deep Learning

Just How Flexible are Neural Networks in Practice?

Paper • 2406.11463 • Published Jun 17 • 6
Not All Language Model Features Are Linear

Paper • 2405.14860 • Published May 23 • 39
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30 • 102
An Interactive Agent Foundation Model

Paper • 2402.05929 • Published Feb 8 • 25

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning

Paper • 2312.06134 • Published Dec 11, 2023 • 2
Efficient Monotonic Multihead Attention

Paper • 2312.04515 • Published Dec 7, 2023 • 6
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 37
Exploring Format Consistency for Instruction Tuning

Paper • 2307.15504 • Published Jul 28, 2023 • 5

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 16
Transforming and Combining Rewards for Aligning Large Language Models

Paper • 2402.00742 • Published Feb 1 • 11
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Paper • 2402.03300 • Published Feb 5 • 67
Specialized Language Models with Cheap Inference from Limited Domain Data

Paper • 2402.01093 • Published Feb 2 • 45

Learning Universal Predictors

Paper • 2401.14953 • Published Jan 26 • 18
Anything in Any Scene: Photorealistic Video Object Insertion

Paper • 2401.17509 • Published Jan 30 • 16
SymbolicAI: A framework for logic-based approaches combining generative models and solvers

Paper • 2402.00854 • Published Feb 1 • 19
StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis

Paper • 2401.17093 • Published Jan 30 • 18

Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Paper • 2401.12954 • Published Jan 23 • 28
Learning Universal Predictors

Paper • 2401.14953 • Published Jan 26 • 18
TravelPlanner: A Benchmark for Real-World Planning with Language Agents

Paper • 2402.01622 • Published Feb 2 • 31
Do Large Language Models Latently Perform Multi-Hop Reasoning?

Paper • 2402.16837 • Published Feb 26 • 24

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Paper • 2309.12307 • Published Sep 21, 2023 • 84
NEFTune: Noisy Embeddings Improve Instruction Finetuning

Paper • 2310.05914 • Published Oct 9, 2023 • 13
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 56
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon

Paper • 2401.03462 • Published Jan 7 • 26

Eureka: Human-Level Reward Design via Coding Large Language Models

Paper • 2310.12931 • Published Oct 19, 2023 • 26
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs

Paper • 2311.04901 • Published Nov 8, 2023 • 6
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems

Paper • 2311.05884 • Published Nov 10, 2023 • 5
PolyMaX: General Dense Prediction with Mask Transformer

Paper • 2311.05770 • Published Nov 9, 2023 • 6

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