{"total":15,"rows":[{"id":"2210.02441","title":"Ask Me Anything: A simple strategy for prompting language models","created":"2022-10-05","cited_by_count":155,"area":null},{"id":"2302.08624","title":"InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis","created":"2023-02-16","cited_by_count":23,"area":null},{"id":"2306.05539","title":"Instruction Tuned Models are Quick Learners","created":"2023-05-17","cited_by_count":21,"area":null},{"id":"2310.14495","title":"InstructExcel: A Benchmark for Natural Language Instruction in Excel","created":"2023-10-23","cited_by_count":15,"area":null},{"id":"2310.17050","title":"Exploring Question Decomposition for Zero-Shot VQA","created":"2023-10-25","cited_by_count":12,"area":null},{"id":"2305.05364","title":"Large Language Model Programs","created":"2023-05-09","cited_by_count":11,"area":null},{"id":"2409.06178","title":"SQLucid: Grounding Natural Language Database Queries with Interactive Explanations","created":"2024-09-10","cited_by_count":10,"area":null},{"id":"2410.13959","title":"FinQAPT: Empowering Financial Decisions with End-to-End LLM-driven Question Answering Pipeline","created":"2024-10-17","cited_by_count":6,"area":null},{"id":"2507.07495","title":"PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving","created":"2025-07-10","cited_by_count":6,"area":null},{"id":"2310.18371","title":"In-Context Ability Transfer for Question Decomposition in Complex QA","created":"2023-10-26","cited_by_count":3,"area":null},{"id":"2605.06283","title":"Quantifying the Statistical Effect of Rubric Modifications on Human-Autorater Agreement","created":"2026-05-07","cited_by_count":3,"area":null},{"id":"2212.10019","title":"When Do Decompositions Help for Machine Reading?","created":"2022-12-20","cited_by_count":2,"area":null},{"id":"2602.16930","title":"Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users","created":"2026-02-18","cited_by_count":2,"area":null},{"id":"2412.15101","title":"Review-Then-Refine: A Dynamic Framework for Multi-Hop Question Answering with Temporal Adaptability","created":"2024-12-19","cited_by_count":1,"area":null},{"id":"2402.16910","title":"NeSy is alive and well: A LLM-driven symbolic approach for better code comment data generation and classification","created":"2024-02-25","cited_by_count":0,"area":null}],"next_cursor":null}