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Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

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Showing 111–120 of 796 papers

TitleStatusHype
TinyRS-R1: Compact Multimodal Language Model for Remote Sensing—0
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement—0
PRIV-QA: Privacy-Preserving Question Answering for Cloud Large Language ModelsCode0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
TVBench: Redesigning Video-Language Evaluation—0
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction TuningCode0
Video Instruction Tuning With Synthetic Data—0
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