WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models | Paper Citation Record

Observation 14c7dbd8-04ee-4356-ad32-8f063b8d0285 · outbound

This paper cites Program Synthesis with Large Language Models.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Program Synthesis with Large Language Models

Reference 1

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Observation 67f3fd04-c0b8-4a26-b833-e551d0cc1cdb · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

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This paper cites Long Code Arena: a Set of Benchmarks for Long-Context Code Models.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Long Code Arena: a Set of Benchmarks for Long-Context Code Models

Reference 3

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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Observation ce3e53ef-1987-4c5d-bb6d-a2c747c741cc · outbound

This paper cites Evaluating Large Language Models Trained on Code.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Evaluating Large Language Models Trained on Code

Reference 7

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

Reference 8

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Observation c9c7ef51-abd3-4170-a6c5-a84d80ada005 · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Gonzalez, Ion Stoica, and Eric P

Reference 9

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Observation 27579dbd-c2e1-4ea2-8410-2bd516a97acc · outbound

This paper cites Jordan, Joseph E.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Jordan, Joseph E

Reference 10

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Observation 782933ca-7ae3-4a25-b1f1-21285b79589e · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 11

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

Reference 12

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Observation 9dfcc633-9a89-45a8-b4fd-b198b86903ab · outbound

This paper cites The Llama 3 Herd of Models.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models The Llama 3 Herd of Models

Reference 13

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

Reference 14

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Observation 77d6b051-9254-4ce5-bfbf-2d735ee4e597 · outbound

This paper cites CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 15

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Observation f6b9c951-8971-4fc7-9fb0-cbe9fb8beae0 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 16

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This paper cites Large Language Models for Software Engineering: A Systematic Literature Review.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Large Language Models for Software Engineering: A Systematic Literature Review

Reference 17

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This paper cites Qwen2.5-Coder Technical Report.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Qwen2.5-Coder Technical Report

Reference 18

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This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 19

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Observation fc8c907c-a95c-4511-8284-26f84b006da2 · outbound

This paper cites DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Reference 20

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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Observation 15fe9e86-19a7-4929-b8c3-6e513df6d07f · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 22

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Observation b34273f1-d5b9-4caa-940b-2374ed255c27 · outbound

This paper cites Competition-Level Code Generation with AlphaCode.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Competition-Level Code Generation with AlphaCode

Reference 23

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 26

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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This paper cites Automatic Programming: Large Language Models and Beyond.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Automatic Programming: Large Language Models and Beyond

Reference 29

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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This paper cites Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models GPT-4 Technical Report

Reference 33

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Code Llama: Open Foundation Models for Code

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning

Reference 37

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Reference 39

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Smith, Daniel Khashabi, and Hannaneh Hajishirzi

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Joty, and Steven C

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Ratner, Ranjay Krishna, Jiaming Shen, and Chao Zhang

Reference 48

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Unresolved cited work

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Xing, Joseph E

Reference 52

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models Xing, Hao Zhang, Joseph E

Reference 53

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models online" 'onlinestring :=

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WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models write newline

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