Papers by Yige Wang

4 papers
Incentivizing Strong Reasoning from Weak Supervision (2026.eacl-long)

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Challenge: Large language models (LLMs) have demonstrated impressive performance on reasoning-intensive tasks, but enhancing their reasoning abilities typically relies on expensive high-quality demonstrations and reinforcement learning.
Approach: They propose to incentivize reasoning abilities of large language models without expensive demonstrations and reinforcement learning.
Outcome: The proposed model can recover 94% of the gains of expensive RL at a fraction of the cost.
Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems (2026.findings-acl)

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Challenge: Existing approaches generate workflows either at task level or query level, but their relative costs and benefits remain unclear.
Approach: They propose a query-level workflow generation framework that generates tasks at task level and query level.
Outcome: The proposed framework reduces token usage by up to 83% compared to existing approaches . it maintains competitive performance with an average degradation of just 0.61% compared with existing approaches across multiple datasets .
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity Recognition (2022.coling-1)

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Challenge: Existing methods for Named Entity Recognition (NER) use a similarity metric to measure semantic similarity between test samples and referents, but their performance is limited due to the label scarcity.
Approach: They propose a novel approach to learn a similarity metric for measuring the semantic similarity between test samples and referents, where each referent represents an entity class.
Outcome: The proposed approach outperforms state-of-the-art models with a significant margin in most cases.
WebQuality: A Large-scale Multi-modal Web Page Quality Assessment Dataset with Multiple Scoring Dimensions (2025.naacl-long)

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Challenge: Existing studies on web page quality assessment neglect the aspect of web page content.
Approach: They propose a Chinese dataset for web page quality assessment . the dataset includes over 65,000 detailed an-notations spanning four sub-dimensions .
Outcome: The proposed dataset includes over 65,000 detailed an-notations spanning four sub-dimensions and incorporates elements such as HTML+CSS, text, and visual screenshot.

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