VākQA: A Benchmark and Evaluation Study for Telugu Spoken Factoid Question Answering

  • 类型：arxiv
  • 标识：2609.19879
  • 链接：https://arxiv.org/abs/2609.19879
  • 主分类：evaluation
  • 形态：benchmark
  • 被引：0
  • 被引来源：Semantic Scholar + OpenAlex
  • S2被引：0
  • OpenAlex被引：0
  • 影响力被引：0
  • TLDR：V\={a}kQA, a Telugu SQA benchmark of 2,001 factoid question-answer pairs across six domains, is introduced and it is observed that Telugu phrasing retains cultural specificity that is lost in translation, speech input introduces phonetic confusions that alter question meaning, and cascaded ASR-MT errors compound progressively.
  • OpenAlex ID：W7213597521
  • OpenAlex DOI：10.48550/arxiv.2609.19879
  • DOI：10.48550/arxiv.2609.19879
  • DOI来源：OpenAlex
  • 开放获取：green
  • 开放获取链接：https://doi.org/10.48550/arxiv.2609.19879
  • OpenAlex更新：2026-09-20
  • 副分类：multimodal
  • 待LLM分类：否
  • 标题中文：VākQA：泰卢固语口语事实型问答基准与评估研究
  • TLDR中文：本文提出 V\={a}kQA，一个覆盖六个领域、包含 2,001 对事实型问答的泰卢固语 SQA 基准；并观察到：泰卢固语措辞保留了翻译中会丢失的文化特异性，语音输入引入的音近混淆会改变问题含义，级联 ASR-MT 误差会逐步叠加放大。
  • 来源文件：
  • /inbox/tom/_candidates/2026-09-18-agent-rag-longcontext-candidates.json
  • [S2 enrich]
  • /inbox/tom/_candidates/2026-09-19-agent-rag-longcontext-candidates.json
  • [OpenAlex backfill]
  • /inbox/tom/_candidates/2026-09-20-agent-rag-longcontext-candidates.json
  • /inbox/tom/_candidates/2026-09-21-agent-rag-longcontext-candidates.json
  • /inbox/tom/_candidates/2026-09-21-agent-memory-tool-use-candidates.json