Automated Question Answering with ArXiv Papers

Latest 25 Papers

• SAID-NeRF: Segmentation-AIDed NeRF for Depth Completion of Transparent Objects - [Arxiv] [QA]
• Self-Improved Learning for Scalable Neural Combinatorial Optimization - [Arxiv] [QA]
• Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset - [Arxiv] [QA]
• Croissant: A Metadata Format for ML-Ready Datasets - [Arxiv] [QA]
• Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments - [Arxiv] [QA]
• Tensor Network-Constrained Kernel Machines as Gaussian Processes - [Arxiv] [QA]
• Client-supervised Federated Learning: Towards One-model-for-all Personalization - [Arxiv] [QA]
• $H$-Consistency Guarantees for Regression - [Arxiv] [QA]
• SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks - [Arxiv] [QA]
• NeuroLGP-SM: A Surrogate-assisted Neuroevolution Approach using Linear Genetic Programming - [Arxiv] [QA]
• Exploiting Individual Graph Structures to Enhance Ecological Momentary Assessment (EMA) Forecasting - [Arxiv] [QA]
• The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement - [Arxiv] [QA]
• EthioMT: Parallel Corpus for Low-resource Ethiopian Languages - [Arxiv] [QA]
• Risk prediction of pathological gambling on social media - [Arxiv] [QA]
• Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models - [Arxiv] [QA]
• Learning a Formally Verified Control Barrier Function in Stochastic Environment - [Arxiv] [QA]
• MedBN: Robust Test-Time Adaptation against Malicious Test Samples - [Arxiv] [QA]
• Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models - [Arxiv] [QA]
• MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation - [Arxiv] [QA]
• Fine-Tuning Language Models with Reward Learning on Policy - [Arxiv] [QA]
• MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs - [Arxiv] [QA]
• J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution - [Arxiv] [QA]
• Inferring Latent Temporal Sparse Coordination Graph for Multi-Agent Reinforcement Learning - [Arxiv] [QA]
• Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering - [Arxiv] [QA]
• Stable Object Placing using Curl and Diff Features of Vision-based Tactile Sensors - [Arxiv] [QA]

List of Papers by Year

• Papers for 2024
• Papers for 2023
• Papers for 2022
• Papers for 2021
• Papers for 2020
• Papers for 2019
• Papers for 2018
• Papers for 2017
• Papers for 2016
• Papers for 2015
• Papers for 2014
• Papers for 2013
• Papers for 2012
• Papers for 2010
• Papers for 2009

Acknowledgements

This project is made possible through the generous support of Anthropic, who provided free access to the Claude-2.1 API.