{"total":39,"rows":[{"id":"2504.11524","title":"HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation","created":"2025-04-15","cited_by_count":37,"area":null},{"id":"2506.05334","title":"Search Arena: Analyzing Search-Augmented LLMs","created":"2025-06-05","cited_by_count":34,"area":null},{"id":"2502.12150","title":"Idiosyncrasies in Large Language Models","created":"2025-02-17","cited_by_count":33,"area":null},{"id":"2409.08466","title":"Explaining Datasets in Words: Statistical Models with Natural Language Parameters","created":"2024-09-13","cited_by_count":21,"area":null},{"id":"2407.03921","title":"Concept Bottleneck Models Without Predefined Concepts","created":"2024-07-04","cited_by_count":17,"area":null},{"id":"2410.15555","title":"Bayesian Concept Bottleneck Models with LLM Priors","created":"2024-10-21","cited_by_count":17,"area":null},{"id":"2412.01876","title":"Understanding Bias in Large-Scale Visual Datasets","created":"2024-12-02","cited_by_count":15,"area":null},{"id":"2503.07860","title":"Video Action Differencing","created":"2025-03-10","cited_by_count":14,"area":null},{"id":"2411.18180","title":"DistinctAD: Distinctive Audio Description Generation in Contexts","created":"2024-11-27","cited_by_count":12,"area":null},{"id":"2403.12777","title":"Discover and Mitigate Multiple Biased Subgroups in Image Classifiers","created":"2024-03-19","cited_by_count":11,"area":null},{"id":"2412.02071","title":"Progress-Aware Video Frame Captioning","created":"2024-12-03","cited_by_count":11,"area":null},{"id":"2410.13826","title":"Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models","created":"2024-10-17","cited_by_count":9,"area":null},{"id":"2412.02856","title":"Is Large-Scale Pretraining the Secret to Good Domain Generalization?","created":"2024-12-03","cited_by_count":9,"area":null},{"id":"2410.05217","title":"Organizing Unstructured Image Collections using Natural Language","created":"2024-10-07","cited_by_count":7,"area":null},{"id":"2406.08572","title":"LLM-assisted Concept Discovery: Automatically Identifying and Explaining Neuron Functions","created":"2024-06-12","cited_by_count":6,"area":null},{"id":"2505.18594","title":"EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models","created":"2025-05-24","cited_by_count":6,"area":null},{"id":"2408.04471","title":"What could go wrong? Discovering and describing failure modes in computer vision","created":"2024-08-08","cited_by_count":5,"area":null},{"id":"2409.03025","title":"No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning","created":"2024-09-04","cited_by_count":5,"area":null},{"id":"2510.26186","title":"ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts","created":"2025-10-30","cited_by_count":5,"area":null},{"id":"2405.04118","title":"Policy Learning with a Language Bottleneck","created":"2024-05-07","cited_by_count":4,"area":null},{"id":"2502.13606","title":"LaVCa: LLM-assisted Visual Cortex Captioning","created":"2025-02-19","cited_by_count":4,"area":null},{"id":"2411.00066","title":"Interpretable Next-token Prediction via the Generalized Induction Head","created":"2024-10-31","cited_by_count":3,"area":null},{"id":"2502.17541","title":"Dataset Featurization: Uncovering Natural Language Features through Unsupervised Data Reconstruction","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2504.18406","title":"HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?","created":"2025-04-25","cited_by_count":3,"area":null},{"id":"2606.26615","title":"TaskTok: Delving into Task Tokens for Task-driven Image Restoration","created":"2026-06-25","cited_by_count":3,"area":null},{"id":"2509.08940","title":"Discovering Divergent Representations between Text-to-Image Models","created":"2025-09-10","cited_by_count":2,"area":null},{"id":"2510.24884","title":"Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations","created":"2025-10-28","cited_by_count":2,"area":null},{"id":"2512.03405","title":"ViDiC: Video Difference Captioning","created":"2025-12-03","cited_by_count":2,"area":null},{"id":"2511.01932","title":"Deciphering Personalization: Towards Fine-Grained Explainability in Natural Language for Personalized Image Generation Models","created":"2025-11-02","cited_by_count":1,"area":null},{"id":"2605.06640","title":"Concept-Based Abductive and Contrastive Explanations for Behaviors of Vision Models","created":"2026-05-07","cited_by_count":1,"area":null},{"id":"2503.19361","title":"ImageSet2Text: Describing Sets of Images through Text","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2511.19200","title":"Can Modern Vision Models Understand the Difference Between an Object and a Look-alike?","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2601.03733","title":"RadDiff: Describing Differences in Radiology Image Sets with Natural Language","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2604.08039","title":"LINE: LLM-based Iterative Neuron Explanations for Vision Models","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2605.00899","title":"LatentDiff: Scaling Semantic Dataset Comparison to Millions of Images","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2607.01728","title":"Beyond Pixel Diffs: Benchmarking Image Change Captioning for Web UI Visual Regression Testing","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2609.03677","title":"Understanding Autonomous Driving Datasets by Describing Differences between Image Subsets in Natural Language","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.28949","title":"Exploiting Target Knowledge from MLLMs for Robust Few-Shot Segmentation","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2610.17399","title":"Learning to Detect Shifts in Unstructured Data Streams via Monitoring-by-Betting","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}