MSIFR stops faulty LLM generations early via staged rule-based checks, reducing token consumption 11-78% with no accuracy loss.
Synthesizing post-training data for llms through multi-agent simulation
3 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
Introduces FURINA-Builder, a scalable multi-agent pipeline that constructs fully customizable role-playing benchmarks, and releases FURINA-Bench with evaluations showing reasoning models trade performance for increased hallucinations.
XtraGPT is a suite of 1.5B-14B parameter open-source LLMs fine-tuned on 140,000 revision pairs from 7,000 top-tier papers to support controllable, context-aware academic paper editing.
citing papers explorer
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Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection
MSIFR stops faulty LLM generations early via staged rule-based checks, reducing token consumption 11-78% with no accuracy loss.
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FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline
Introduces FURINA-Builder, a scalable multi-agent pipeline that constructs fully customizable role-playing benchmarks, and releases FURINA-Bench with evaluations showing reasoning models trade performance for increased hallucinations.
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XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration
XtraGPT is a suite of 1.5B-14B parameter open-source LLMs fine-tuned on 140,000 revision pairs from 7,000 top-tier papers to support controllable, context-aware academic paper editing.