LLMs + Persona-Plug = Personalized LLMs
Paper
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2409.11901
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Published
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32
Nifty
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To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
Paper • 2409.12183 • Published • 37 -
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Paper • 2402.12875 • Published • 13 -
TPI-LLM: Serving 70B-scale LLMs Efficiently on Low-resource Edge Devices
Paper • 2410.00531 • Published • 31 -
DiaSynth -- Synthetic Dialogue Generation Framework
Paper • 2409.19020 • Published • 21 -
ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
Paper • 2410.12405 • Published • 13 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 62 -
SelfCodeAlign: Self-Alignment for Code Generation
Paper • 2410.24198 • Published • 24 -
BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments
Paper • 2410.23918 • Published • 20 -
ATM: Improving Model Merging by Alternating Tuning and Merging
Paper • 2411.03055 • Published • 1 -
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Paper • 2411.04905 • Published • 115 -
Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model
Paper • 2411.04496 • Published • 23 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 34 -
Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens
Paper • 2411.17691 • Published • 13 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 141 -
MALT: Improving Reasoning with Multi-Agent LLM Training
Paper • 2412.01928 • Published • 42 -
Wonderful Matrices: Combining for a More Efficient and Effective Foundation Model Architecture
Paper • 2412.11834 • Published • 7 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38 -
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
Paper • 2412.14711 • Published • 16 -
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 86 -
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models
Paper • 2502.03032 • Published • 55 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 112 -
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU
Paper • 2502.08910 • Published • 138 -
CoT-Valve: Length-Compressible Chain-of-Thought Tuning
Paper • 2502.09601 • Published • 11 -
SQuARE: Sequential Question Answering Reasoning Engine for Enhanced Chain-of-Thought in Large Language Models
Paper • 2502.09390 • Published • 15 -
Dyve: Thinking Fast and Slow for Dynamic Process Verification
Paper • 2502.11157 • Published • 6 -
Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data Scarsity
Paper • 2502.11901 • Published • 6 -
FoNE: Precise Single-Token Number Embeddings via Fourier Features
Paper • 2502.09741 • Published • 11