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Collections including paper arxiv:2407.00320

Unlocking Continual Learning Abilities in Language Models

Paper • 2406.17245 • Published Jun 25, 2024 • 31
A Closer Look into Mixture-of-Experts in Large Language Models

Paper • 2406.18219 • Published Jun 26, 2024 • 16
Symbolic Learning Enables Self-Evolving Agents

Paper • 2406.18532 • Published Jun 26, 2024 • 12
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published Jun 26, 2024 • 43

Papers - Training - Brier Score - Probabilistic Accuracy

LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40

Planning-with-LLM

Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 49
Adaptable Logical Control for Large Language Models

Paper • 2406.13892 • Published Jun 19, 2024 • 1
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Paper • 2406.19215 • Published Jun 27, 2024 • 32
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Paper • 2405.14831 • Published May 23, 2024 • 4

Relevant-Papers-Midterm

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Paper • 2402.14848 • Published Feb 19, 2024 • 20
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 66
CRAG -- Comprehensive RAG Benchmark

Paper • 2406.04744 • Published Jun 7, 2024 • 49
Transformers meet Neural Algorithmic Reasoners

Paper • 2406.09308 • Published Jun 13, 2024 • 45

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3, 2024 • 51
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 56
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22, 2024 • 28
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 35

Eliminating Position Bias of Language Models: A Mechanistic Approach

Paper • 2407.01100 • Published Jul 1, 2024 • 9
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Paper • 2407.01920 • Published Jul 2, 2024 • 17
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40

Papers - Math - TabMWP

LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 32
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17, 2024 • 16
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17, 2024 • 13

Papers - Llama 3 - Fine-tuning

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study

Paper • 2404.14047 • Published Apr 22, 2024 • 46
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40
Cut Your Losses in Large-Vocabulary Language Models

Paper • 2411.09009 • Published Nov 13, 2024 • 50
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

Paper • 2411.09595 • Published Nov 14, 2024 • 78

Papers - Math - GSM8K

Training Verifiers to Solve Math Word Problems

Paper • 2110.14168 • Published Oct 27, 2021 • 4
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Paper • 2309.03883 • Published Sep 7, 2023 • 35

Unlocking Continual Learning Abilities in Language Models

Paper • 2406.17245 • Published Jun 25, 2024 • 31
A Closer Look into Mixture-of-Experts in Large Language Models

Paper • 2406.18219 • Published Jun 26, 2024 • 16
Symbolic Learning Enables Self-Evolving Agents

Paper • 2406.18532 • Published Jun 26, 2024 • 12
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Paper • 2406.18629 • Published Jun 26, 2024 • 43

Eliminating Position Bias of Language Models: A Mechanistic Approach

Paper • 2407.01100 • Published Jul 1, 2024 • 9
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models

Paper • 2407.01920 • Published Jul 2, 2024 • 17
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40

Papers - Training - Brier Score - Probabilistic Accuracy

LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40

Papers - Math - TabMWP

LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40

Planning-with-LLM

Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 49
Adaptable Logical Control for Large Language Models

Paper • 2406.13892 • Published Jun 19, 2024 • 1
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation

Paper • 2406.19215 • Published Jun 27, 2024 • 32
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models

Paper • 2405.14831 • Published May 23, 2024 • 4

How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17, 2024 • 32
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries

Paper • 2406.12824 • Published Jun 18, 2024 • 21
Tokenization Falling Short: The Curse of Tokenization

Paper • 2406.11687 • Published Jun 17, 2024 • 16
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level

Paper • 2406.11817 • Published Jun 17, 2024 • 13

Relevant-Papers-Midterm

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Paper • 2402.14848 • Published Feb 19, 2024 • 20
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6, 2024 • 66
CRAG -- Comprehensive RAG Benchmark

Paper • 2406.04744 • Published Jun 7, 2024 • 49
Transformers meet Neural Algorithmic Reasoners

Paper • 2406.09308 • Published Jun 13, 2024 • 45

Papers - Llama 3 - Fine-tuning

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study

Paper • 2404.14047 • Published Apr 22, 2024 • 46
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40
Cut Your Losses in Large-Vocabulary Language Models

Paper • 2411.09009 • Published Nov 13, 2024 • 50
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

Paper • 2411.09595 • Published Nov 14, 2024 • 78

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models

Paper • 2404.02575 • Published Apr 3, 2024 • 51
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18, 2024 • 56
SnapKV: LLM Knows What You are Looking for Before Generation

Paper • 2404.14469 • Published Apr 22, 2024 • 28
FlowMind: Automatic Workflow Generation with LLMs

Paper • 2404.13050 • Published Mar 17, 2024 • 35

Papers - Math - GSM8K

Training Verifiers to Solve Math Word Problems

Paper • 2110.14168 • Published Oct 27, 2021 • 4
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Paper • 2309.12284 • Published Sep 21, 2023 • 18
LiteSearch: Efficacious Tree Search for LLM

Paper • 2407.00320 • Published Jun 29, 2024 • 40
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Paper • 2309.03883 • Published Sep 7, 2023 • 35

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