conftrace_

performance prediction

72 papers

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Co-occurring keywords

neural architecture search (666) transfer learning (5449) large language model (13587) distribution shift (722) model evaluation (445) graph neural network (3962) language model (4599) domain adaptation (4595) model performance (59) domain shift (318)

Papers

CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025
Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS IJCAI 2025
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor IJCAI 2025
Rationales Are Not Silver Bullets: Measuring the Impact of Rationales on Model Performance and Reliability ACL 2025
Predicting Fine-tuned Performance on Larger Datasets Before Creating Them COLING 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025
Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation ACL 2025
LITMUS++ : An Agentic System for Predictive Analysis of Low-Resource Languages Across Tasks and Models AACL 2025
ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models NAACL 2025
LITMUS++ : An Agentic System for Predictive Analysis of Low-Resource Languages Across Tasks and Models IJCNLP 2025
PreSumm: Predicting Summarization Performance Without Summarizing ACL 2025
SimBA: Simplifying Benchmark Analysis Using Performance Matrices Alone EMNLP 2025
DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning EMNLP 2025
Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution AISTATS 2024
Collaborative Performance Prediction for Large Language Models EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 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
Building Optimal Neural Architectures using Interpretable Knowledge CVPR 2024
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NIPS 2024
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency EMNLP 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench EMNLP 2023
MathNAS: If Blocks Have a Role in Mathematical Architecture Design NIPS 2023
CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning AAAI 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023