{"total":23,"rows":[{"id":"2303.08128","title":"ViperGPT: Visual Inference via Python Execution for Reasoning","created":"2023-03-14","cited_by_count":603,"area":"lr"},{"id":"2301.00303","title":"Rethinking with Retrieval: Faithful Large Language Model Inference","created":"2022-12-31","cited_by_count":145,"area":"lr"},{"id":"2311.18799","title":"X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning","created":"2023-11-30","cited_by_count":80,"area":"lr"},{"id":"2310.15166","title":"Large Language Models are Visual Reasoning Coordinators","created":"2023-10-23","cited_by_count":58,"area":"lr"},{"id":"2301.05226","title":"See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning","created":"2023-01-12","cited_by_count":51,"area":"lr"},{"id":"2311.09050","title":"Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts","created":"2023-11-15","cited_by_count":20,"area":"lr"},{"id":"2404.07078","title":"VLLMs Provide Better Context for Emotion Understanding Through Common Sense Reasoning","created":"2024-04-10","cited_by_count":16,"area":"lr"},{"id":"2311.17331","title":"Towards Top-Down Reasoning: An Explainable Multi-Agent Approach for Visual Question Answering","created":"2023-11-29","cited_by_count":11,"area":"lr"},{"id":"2305.18373","title":"KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models","created":"2023-05-28","cited_by_count":7,"area":"lr"},{"id":"2506.07785","title":"Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger","created":"2025-06-09","cited_by_count":7,"area":"lr"},{"id":"2403.18252","title":"Beyond Embeddings: The Promise of Visual Table in Visual Reasoning","created":"2024-03-27","cited_by_count":5,"area":"lr"},{"id":"2404.10226","title":"Find The Gap: Knowledge Base Reasoning For Visual Question Answering","created":"2024-04-16","cited_by_count":4,"area":"lr"},{"id":"2409.18996","title":"From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models","created":"2024-09-19","cited_by_count":4,"area":"lr"},{"id":"2401.10712","title":"Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge","created":"2024-01-19","cited_by_count":3,"area":"lr"},{"id":"2403.10037","title":"Knowledge Condensation and Reasoning for Knowledge-based VQA","created":"2024-03-15","cited_by_count":3,"area":"lr"},{"id":"2310.08148","title":"Open-Set Knowledge-Based Visual Question Answering with Inference Paths","created":"2023-10-12","cited_by_count":2,"area":"lr"},{"id":"2406.18839","title":"Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA","created":"2024-06-27","cited_by_count":2,"area":"lr"},{"id":"2511.11132","title":"From Hindsight to Foresight: Self-Encouraged Hindsight Distillation for Knowledge-based Visual Question Answering","created":"2025-11-14","cited_by_count":2,"area":"lr"},{"id":"2603.05256","title":"Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum","created":"2026-03-05","cited_by_count":2,"area":"lr"},{"id":"2306.01144","title":"Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data","created":"2023-06-01","cited_by_count":1,"area":"lr"},{"id":"2510.06638","title":"StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering","created":"2025-10-08","cited_by_count":1,"area":"lr"},{"id":"2608.23330","title":"IntentQA: Intent Question Answering in Videos by Cognitive Context Reasoning","created":"2026-08-24","cited_by_count":0,"area":"lr"},{"id":"2610.17079","title":"Rethinking LLM-Guided Visual Question Answering: Does Deeper Knowledge Integration Really Help?","created":"2026-10-12","cited_by_count":0,"area":"lr"}],"next_cursor":null}