Text-to-3D using Gaussian Splatting
Paper
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2309.16585
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Published
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31
Papers
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FP8-LM: Training FP8 Large Language Models
Paper • 2310.18313 • Published • 33 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 123 -
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Paper • 2312.06585 • Published • 28 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 77 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 36 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 104 -
Neural Network Diffusion
Paper • 2402.13144 • Published • 95 -
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47 -
Watermarking Makes Language Models Radioactive
Paper • 2402.14904 • Published • 23 -
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Paper • 2403.05530 • Published • 61 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 104 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 254 -
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 40 -
Scaling Laws for Pre-training Agents and World Models
Paper • 2411.04434 • Published -
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition
Paper • 2310.05492 • Published • 2 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 33 -
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
Paper • 2408.07852 • Published • 16 -
Were RNNs All We Needed?
Paper • 2410.01201 • Published • 51 -
Towards Understanding Sycophancy in Language Models
Paper • 2310.13548 • Published • 4 -
Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models
Paper • 2406.10162 • Published -
RULER: What's the Real Context Size of Your Long-Context Language Models?
Paper • 2404.06654 • Published • 34 -
Scalable MatMul-free Language Modeling
Paper • 2406.02528 • Published • 11 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 16 -
Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations
Paper • 2411.00640 • Published • 3 -
Discovering Preference Optimization Algorithms with and for Large Language Models
Paper • 2406.08414 • Published • 14 -
Flow Matching Guide and Code
Paper • 2412.06264 • Published • 1 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 71 -
An Evolved Universal Transformer Memory
Paper • 2410.13166 • Published • 3 -
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
Paper • 2412.05563 • Published