Does Daily Software Engineering Work Need Reasoning Models?
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Yi Cui PRO
onekq
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14
papers
3 months ago
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
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2304.07288
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1
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis
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2410.02749
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12
Many-Shot In-Context Learning
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2404.11018
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4
Not All LLM Reasoners Are Created Equal
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2410.01748
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28
Batch Prompting: Efficient Inference with Large Language Model APIs
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2301.08721
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A Survey on In-context Learning
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2301.00234
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2
An Explanation of In-context Learning as Implicit Bayesian Inference
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2111.02080
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1
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
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1512.02479
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1
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification
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2403.06326
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1
Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning
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2303.10475
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2
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation
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2409.13928
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1
WebApp1K: A Practical Code-Generation Benchmark for Web App Development
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2408.00019
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The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
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2312.01552
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30
Instruction Following without Instruction Tuning
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2409.14254
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27
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3 months ago
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Our Transformers Code Agent beats the GAIA benchmark!
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