Cross-Lingual Question Answering

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (25 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Scaling Instruction-Finetuned Language Models
  20 Oct 2022 9 repositories listed Syntology ran 8 of 17 samples · 9 unverified · 2 pointer-only (licence)
  We find that instruction finetuning with the above aspects dramatically improves performance on a variety of model classes (PaLM, T5, U-PaLM), prompting setups (zero-shot, few-shot, CoT), and evaluation benchmarks…
• PaLM: Scaling Language Modeling with Pathways
  5 Apr 2022 7 repositories listed Syntology ran 30 of 37 samples · 7 unverified
  To further our understanding of the impact of scale on few-shot learning, we trained a 540-billion parameter, densely activated, Transformer language model, which we call Pathways Language Model PaLM.
• On the Cross-lingual Transferability of Monolingual Representations
  25 Oct 2019 7 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  This generalization ability has been attributed to the use of a shared subword vocabulary and joint training across multiple languages giving rise to deep multilingual abstractions.
• ByT5: Towards a token-free future with pre-trained byte-to-byte models
  28 May 2021 5 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Most widely-used pre-trained language models operate on sequences of tokens corresponding to word or subword units.
• mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models
  15 Oct 2021 4 repositories listed
  We train a multilingual language model with 24 languages with entity representations and show the model consistently outperforms word-based pretrained models in various cross-lingual transfer tasks.
• Rethinking embedding coupling in pre-trained language models
  24 Oct 2020 4 repositories listed
  We re-evaluate the standard practice of sharing weights between input and output embeddings in state-of-the-art pre-trained language models.
• IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages
  25 Apr 2024 1 repository listed
  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…
• Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
  26 Feb 2024 1 repository listed
  Cross-lingual open domain question answering (CLQA) is a complex problem, comprising cross-lingual retrieval from a multilingual knowledge base, followed by answer generation in the query language.
• Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge Distillation
  29 Sep 2023 1 repository listed
  Our approach seeks to enhance cross-lingual QA transfer using a high-performing multilingual model trained on a large-scale dataset, complemented by a few thousand aligned QA examples across languages.
• PAXQA: Generating Cross-lingual Question Answering Examples at Training Scale
  24 Apr 2023 1 repository listed
  This work proposes a synthetic data generation method for cross-lingual QA which leverages indirect supervision from existing parallel corpora.
• Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension
  26 Feb 2023 1 repository listed
  We convert KB subgraphs into passages to narrow the gap between KB schemas and questions, which enables our model to benefit from recent advances in multilingual pre-trained language models (MPLMs) and cross-lingual…
• Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
  23 Oct 2020 1 repository listed
  Coupled with the availability of large scale datasets, deep learning architectures have enabled rapid progress on the Question Answering task.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.