ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis | Paper Citation Record

Observation 21d32cc4-2c8e-4ef4-bda0-96754a00f592 · outbound

This paper cites Synthetic Dialogue Dataset Generation using LLM Agents.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Synthetic Dialogue Dataset Generation using LLM Agents

Reference 1

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This paper cites Constitutional AI: Harmlessness from AI Feedback.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Constitutional AI: Harmlessness from AI Feedback

Reference 2

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Instruction Mining: Instruction Data Selection for Tuning Large Language Models

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This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis C-Pack: Packed Resources For General Chinese Embeddings

Reference 4

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This paper cites AlpaGasus: Training A Better Alpaca with Fewer Data.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 5

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This paper cites Evaluating Large Language Models Trained on Code.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Evaluating Large Language Models Trained on Code

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This paper cites DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Reference 7

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This paper cites Training Verifiers to Solve Math Word Problems.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Training Verifiers to Solve Math Word Problems

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

Reference 10

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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This paper cites AugGPT: Leveraging ChatGPT for Text Data Augmentation.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis AugGPT: Leveraging ChatGPT for Text Data Augmentation

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 14

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This paper cites How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

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This paper cites Measuring Massive Multitask Language Understanding.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Measuring Massive Multitask Language Understanding

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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This paper cites o pf, Yannic Kilcher, Dimitri von R \.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis o pf, Yannic Kilcher, Dimitri von R \

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Observation b49f16de-036e-491f-aeae-85901070894b · outbound

This paper cites Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 20

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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This paper cites Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

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This paper cites From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

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This paper cites One-Shot Learning as Instruction Data Prospector for Large Language Models.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis One-Shot Learning as Instruction Data Prospector for Large Language Models

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This paper cites What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Take the essence and discard the dross: A Rethinking on Data Selection for Fine-Tuning Large Language Models

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis WizardCoder: Empowering Code Large Language Models with Evol-Instruct

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Unresolved cited work

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Cross-Task Generalization via Natural Language Crowdsourcing Instructions

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Generative Representational Instruction Tuning

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis GPT-4 Technical Report

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Training language models to follow instructions with human feedback

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Scaling Language Models: Methods, Analysis & Insights from Training Gopher

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Direct Preference Optimization: Your Language Model is Secretly a Reward Model

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Amuro and Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models

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This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Gemma 2: Improving Open Language Models at a Practical Size

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis BERT Rediscovers the Classical NLP Pipeline

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis LLaMA: Open and Efficient Foundation Language Models

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 51

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets

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This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis LESS: Selecting Influential Data for Targeted Instruction Tuning

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 55

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ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis Scalable Model Editing via Customized Expert Networks

Reference 56

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This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

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Reference 58

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Reference 59

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Reference 60

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Reference 61

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