AI & Sentiment Analysis
Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs
arXiv:2504.11239v1 Announce Type: cross Abstract: Reasoning is the fundamental capability of large language models (LLMs). Due to the rapid progress...
Read moreDetailsLong-Context Evaluation Beyond Literal Matching
View a PDF of the paper titled NoLiMa: Long-Context Evaluation Beyond Literal Matching, by Ali Modarressi and 6 other authors...
Read moreDetailsA Novel Approach for the Automated Evaluation of Open-Ended Question Generation
View a PDF of the paper titled MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation, by...
Read moreDetailsA Floater-Free Framework for 3D Gaussian Splatting
View a PDF of the paper titled StableGS: A Floater-Free Framework for 3D Gaussian Splatting, by Luchao Wang and 5...
Read moreDetailsExploring Training and Inference Scaling Laws in Generative Retrieval
arXiv:2503.18941v1 Announce Type: cross Abstract: Generative retrieval has emerged as a novel paradigm that leverages large language models (LLMs) to...
Read moreDetailsA Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem Proving
View a PDF of the paper titled HunyuanProver: A Scalable Data Synthesis Framework and Guided Tree Search for Automated Theorem...
Read moreDetailsUnlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
View a PDF of the paper titled GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery, by Enguang...
Read moreDetailsOptimizing Data Mixtures by Predicting Language Modeling Performance
View a PDF of the paper titled Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance, by Jiasheng...
Read moreDetailsMachine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU
arXiv:2503.15166v1 Announce Type: cross Abstract: Machine unlearning methods have become increasingly important for selective concept removal in large pre-trained models....
Read moreDetails[2402.13213] Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A
View a PDF of the paper titled Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A,...
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