Papers
176,624 papers found
BEMEAE: Moving Beyond Exact Span Match for Event Argument Extraction
Enfa Fane, Md Nayem Uddin, Oghenevovwe Ikumariegbe et al.
Be More Specific: Evaluating Object-centric Realism in Synthetic Images
Anqi Liang, Ciprian Corneanu, Qianli Feng et al.
@BENCH: Benchmarking Vision-Language Models for Human-Centered Assistive Technology
Xin Jiang, Junwei Zheng, Ruiping Liu et al.
Benchmark Creation for Aspect-Based Sentiment Analysis in Low-Resource Odia Language and Evaluation through Fine-Tuning of Multilingual Models
Lipika Dewangan, Zoyah Afsheen Sayeed, Chandresh Maurya
Benchmarking AI Text Detection: Assessing Detectors Against New Datasets, Evasion Tactics, and Enhanced LLMs
Shushanta Pudasaini, Luis Miralles, David Lillis et al.
Benchmarking and Building Zero-Shot Hindi Retrieval Model with Hindi-BEIR and NLLB-E5
Arkadeep Acharya, Rudra Murthy, Vishwajeet Kumar et al.
Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning
Yingjie Zhu, Xuefeng Bai, Kehai Chen et al.
Benchmarking and Improving LLM Robustness for Personalized Generation
Chimaobi Okite, Naihao Deng, Kiran Bodipati et al.
Benchmarking and Learning Multi-Dimensional Quality Evaluator for Text-to-3D Generation
Yujie Zhang, Bingyang Cui, Qi Yang et al.
Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models
Md. Atabuzzaman, Ali Asgarov, Chris Thomas
Benchmarking and Understanding Compositional Relational Reasoning of LLMs
Ruikang Ni, Da Xiao, Qingye Meng et al.
Benchmarking Bangla Causality: A Dataset of Implicit and Explicit Causal Sentences and Cause-Effect Relations
Diya Saha, Sudeshna Jana, Manjira Sinha et al.
Benchmarking Bangla Causality: A Dataset of Implicit and Explicit Causal Sentences and Cause-Effect Relations
Diya Saha, Sudeshna Jana, Manjira Sinha et al.
Benchmarking Burst Super-Resolution for Polarization Images: Noise Dataset and Analysis
Inseung Hwang, Kiseok Choi, Hyunho Ha et al.
Benchmarking Contextual and Paralinguistic Reasoning in Speech-LLMs: A Case Study with In-the-Wild Data
Qiongqiong Wang, Hardik Bhupendra Sailor, Tianchi Liu et al.
Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models
Blanca Calvo Figueras, Rodrigo Agerri
Benchmarking Debiasing Methods for LLM-based Parameter Estimates
Nicolas Audinet de Pieuchon, Adel Daoud, Connor Thomas Jerzak et al.
Benchmarking Deep Search over Heterogeneous Enterprise Data
Prafulla Kumar Choubey, Xiangyu Peng, Shilpa Bhagavath et al.
Benchmarking Distributional Alignment of Large Language Models
Nicole Meister, Carlos Guestrin, Tatsunori Hashimoto
Benchmarking Egocentric Visual-Inertial SLAM at City Scale
Anusha Krishnan, Shaohui Liu, Paul-Edouard Sarlin et al.
Benchmarking Failures in Tool-Augmented Language Models
Eduardo Treviño, Hugo Contant, James Ngai et al.
Benchmarking for Domain-Specific LLMs: A Case Study on Academia and Beyond
Rubing Chen, Jiaxin Wu, Jian Wang et al.
Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving
Shunfeng Zheng, Yudi Zhang, Meng Fang et al.
Benchmarking Hindi LLMs: A New Suite of Datasets and a Comparative Analysis
Anusha Kamath, Kanishk Singla, Rakesh Paul et al.
Benchmarking Hindi LLMs: A New Suite of Datasets and a Comparative Analysis
Anusha Kamath, Kanishk Singla, Rakesh Paul et al.