SciImpact is a new multi-dimensional benchmark showing that multi-task fine-tuned smaller LLMs can outperform larger models in predicting varied forms of scientific impact.
From newborn to impact: Bias-aware citation prediction
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CPO++ adapts reinforcement fine-tuning of MLLMs to endogenous multi-modal concept drift through counterfactual reasoning and preference optimization, yielding better coherence and cross-domain robustness in safety-critical settings.
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SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction
SciImpact is a new multi-dimensional benchmark showing that multi-task fine-tuned smaller LLMs can outperform larger models in predicting varied forms of scientific impact.
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Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning
CPO++ adapts reinforcement fine-tuning of MLLMs to endogenous multi-modal concept drift through counterfactual reasoning and preference optimization, yielding better coherence and cross-domain robustness in safety-critical settings.