performance prediction

Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation ACL 2025 Can We Predict Performance of Large Models across Vision-Language Tasks? ICML 2025 CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025 DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning EMNLP 2025 LITMUS++ : An Agentic System for Predictive Analysis of Low-Resource Languages Across Tasks and Models IJCNLP 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025 PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor IJCAI 2025 Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025 PreSumm: Predicting Summarization Performance Without Summarizing ACL 2025 ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models NAACL 2025 Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025 SimBA: Simplifying Benchmark Analysis Using Performance Matrices Alone EMNLP 2025 Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS IJCAI 2025 U-shaped and Inverted-U Scaling behind Emergent Abilities of Large Language Models ICLR 2025 Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NeurIPS 2024 Building Optimal Neural Architectures using Interpretable Knowledge CVPR 2024 Collaborative Performance Prediction for Large Language Models EMNLP 2024 Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution AISTATS 2024 Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method IJCAI 2024 LLM Performance Predictors are good initializers for Architecture Search ACL 2024 Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024 Surprisingly Strong Performance Prediction with Neural Graph Features ICML 2024 AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023 ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs EMNLP 2023 Characterizing and Measuring Linguistic Dataset Drift ACL 2023