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Collections including paper arxiv:2407.00653

Unlocking Continual Learning Abilities in Language Models

Paper • 2406.17245 • Published Jun 25 • 28
A Closer Look into Mixture-of-Experts in Large Language Models

Paper • 2406.18219 • Published Jun 26 • 15
Symbolic Learning Enables Self-Evolving Agents

Paper • 2406.18532 • Published Jun 26 • 10
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published Jun 26 • 39

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11

Interesting Papers

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs

Paper • 2406.20086 • Published Jun 28 • 3
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Paper • 2407.00106 • Published Jun 27 • 5
MIRAI: Evaluating LLM Agents for Event Forecasting

Paper • 2407.01231 • Published Jul 1 • 15

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published Jun 26 • 39
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities

Paper • 2406.14562 • Published Jun 20 • 27
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Paper • 2406.04271 • Published Jun 6 • 27

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Paper • 2407.00106 • Published Jun 27 • 5

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 29
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18 • 20
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17 • 14
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17 • 13

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 11 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 21
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 78
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 25

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