IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages
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Abstract (arXiv)
As large language models (LLMs) see increasing adoption across the globe, it is imperative for LLMs to be representative of the linguistic diversity of the world. India is a linguistically diverse country of 1.4 Billion people. To facilitate research on multilingual LLM evaluation, we release IndicGenBench - the largest benchmark for evaluating LLMs on user-facing generation tasks across a diverse set 29 of Indic languages covering 13 scripts and 4 language families. IndicGenBench is composed of diverse generation tasks like cross-lingual summarization, machine translation, and cross-lingual question answering. IndicGenBench extends existing benchmarks to many Indic languages through human curation providing multi-way parallel evaluation data for many under-represented Indic languages for the first time. We evaluate a wide range of proprietary and open-source LLMs including GPT-3.5, GPT-4, PaLM-2, mT5, Gemma, BLOOM and LLaMA on IndicGenBench in a variety of settings. The largest PaLM-2 models performs the best on most tasks, however, there is a significant performance gap in all languages compared to English showing that further research is needed for the development of more inclusive multilingual language models. IndicGenBench is released at www.github.com/google-research-datasets/indic-gen-bench
Key facts. Cited by 55 papers in the map (data through 7 Oct 2026). Builds on 37 of its 46 references that are in the map. First posted on arXiv 25 Apr 2024.
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Citing papers per year: 2024: 11; 2025: 29; 2026: 15.
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- 2024INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languagescited by 24
- 2024Cross-Lingual Auto Evaluation for Assessing Multilingual LLMscited by 17
- 2025SANSKRITI: A Comprehensive Benchmark for Evaluating Language Models' Knowledge of Indian Culturecited by 14
- 2024Evaluating Tokenizer Performance of Large Language Models Across Official Indian Languagescited by 10
- 2025Chitrarth: Bridging Vision and Language for a Billion Peoplecited by 10
- 2025Llama-3-Nanda-10B-Chat: An Open Generative Large Language Model for Hindicited by 10
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- 2026L3Cube-IndicQuest v2: A Large-Scale Multilingual Benchmark for Evaluating Factual Knowledge of Large Language Models Across Indic Languages16 Aug 2026
- 2026BM25-Augmented Many-Shot Translation for Low-Resource North-Eastern Indian Languages13 Aug 2026
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- 2026BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation26 May 2026
- 2026The Annotation Scarcity Paradox in Low-Resource NLP Evaluation: A Decade of Acceleration and Emerging Constraints18 May 2026
- 2026MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation20 Apr 2026
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