Collection by
Nov 6, 2023
Nov 6, 2023
Collections
Discover the best community collections!
Collections including paper arxiv:2310.13961
Collection by
Mar 18
Mar 18
-
Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 59 -
Learning To Teach Large Language Models Logical Reasoning
Paper • 2310.09158 • Published • 1 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper • 2311.00176 • Published • 7 -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper • 2308.09583 • Published • 7
Collection by
Apr 10
Apr 10
-
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 8 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 10 -
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
Paper • 2310.00492 • Published • 1
Collection by
Apr 10
Apr 10
-
QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models
Paper • 2310.16795 • Published • 26 -
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
The Consensus Game: Language Model Generation via Equilibrium Search
Paper • 2310.09139 • Published • 12 -
Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning
Paper • 2310.03094 • Published • 12
Collection by
Dec 5, 2023
Dec 5, 2023
-
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Paper • 2309.08958 • Published • 2 -
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
Paper • 2309.06358 • Published • 1 -
Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 8 -
Retrieval-Generation Synergy Augmented Large Language Models
Paper • 2310.05149 • Published • 1
Collection by
16 days ago
16 days ago
-
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 4 -
AutoMix: Automatically Mixing Language Models
Paper • 2310.12963 • Published • 14 -
SAI: Solving AI Tasks with Systematic Artificial Intelligence in Communication Network
Paper • 2310.09049 • Published • 1
Collection by
Feb 20
Feb 20
-
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 10 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
Collection by
20 days ago
20 days ago
-
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 17 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4
Collection by
Jan 27
Jan 27
-
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 10 -
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI
Paper • 2401.14019 • Published • 19