Multilingual Intermediate-Task Training for Zero-Shot Cross-Lingual Transfer in Low-Resource Languages
Abstract
Abstract: Intermediate-task training—fine-tuning a pretrained model on an intermediate task before fine-tuning again on the target task—often improves model performance substantially on language understanding tasks in monolingual English settings. We investigate whether English intermediate-task training is still helpful on non-English target tasks. Using nine intermediate language-understanding tasks, we evaluate intermediate-task transfer in a zero-shot cross-lingual setting on the XTREME benchmark. We see large improvements from intermediate training on the BUCC and Tatoeba sentence retrieval tas
Research Question
Do multilingual intermediate-task training strategies outperform English-only intermediate-task training when evaluated on XTREME-R for zero-shot cross-lingual transfer in low-resource languages?
Verification Level
| Paper level | L2, Source-grounded claims | |
| Source-grounded claims | 9 | |
| Claim record source | parsed source sections |
Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.
Truth-Engine Gate Verdict
| Status | Falsified | |
| Gate | Gate 2 — Verification (formal proof or sandbox reproduction) | |
| Reason | [Gate 3 RED-TEAM FALSIFIED] avg_attack_score=7.7/10. COUNTEREXAMPLE_HUNTER(8.5):The formula script computes the maximum value from a hardcoded dictionary of cla; CITATION_AUDITOR(7.2):The formula reproduces a derived claim (best-performing task score) rather than ; REPLICATION_ATTACKER(7.5):The formula computes a derived quantity (max performance across tasks) rather th | |
| Evaluated | 2026-07-02T03:48:27.951721+00:00 |
A claim in this record was tested against Gate 2 and failed: a counterexample was found, a proof did not type-check, or a reproduction attempt did not match the reported results. Evidence for the failure is attached to this record. VERIFIED requires an attached reproducible artifact (Lean4 proof source, or repro script and results) before this status can be set; it is not derived from review score or claim count.
Quality Tier
| Tier | Flagship candidate | |
| Basis | Review score, verified-claim count, and public artifact coverage meet flagship-candidate thresholds. |
Descriptive public triage only; this tier does not alter current publication or DOI behavior.
Quality Dimensions
| Evidence strength | MEDIUM | |
| Citation grounding | MEDIUM | |
| Uncertainty disclosure | MEDIUM | |
| Reproducibility status | HIGH |
Automated triage signals derived from public fields; not human peer review or independent validation.
Correction Record
| Status | CURRENT |
| Correction count | 0 |
| Manifest contract | paper-manifest-v1.1 |
| Correction contract | correction-record-v1 |
Public corrections are additive records. Current status does not claim the synthesis is error-free.
Provenance
| Publisher | Assignee Research |
| Public provenance | L4, External archival record |
| Report artifact | Available |
| External record | Registered |
| Claim lineage | 9 aggregate source-grounded claims |
| Review method | Automated multi-reviewer assessment |
| Quality guide | How to read scores, claims, manifests, and evidence links |
| Provenance contract | source-provenance-v1 |
| Note | Machine-generated synthesis of existing literature. Not primary research. |