Papers by Peijie Dong

6 papers
Type Enhanced BERT for Correcting NER Errors (2023.findings-acl)

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Challenge: Named entity recognition (NER) is the task of identifying spans that belong to particular categories, such as person, location, organization, etc.
Approach: They propose a method that integrates named entity’s type information into BERT by an adapter layer and integrates it into a gazetteer.
Outcome: The proposed method outperforms baselines in multiple corpus.
AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives (2026.findings-acl)

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Challenge: Large Audio-Language Models suffer from hallucinations, e.g., generating text not grounded in the audio input.
Approach: They propose a framework to address hallucination problems in large audio-language models . they use a preference dataset to test the model's accuracy .
Outcome: The proposed model outperforms the latest SOTA methods in terms of performance and generalization.
LPZero: Language Model Zero-cost Proxy Search from Zero (2024.findings-emnlp)

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Challenge: Existing zero-cost (ZC) proxies rely on expert knowledge and incur significant trial-and-error costs.
Approach: They propose a framework that automatically designs zero-cost (ZC) proxies for various tasks and incorporates genetic programming to find the optimal symbolic composition.
Outcome: The proposed framework achieves higher ranking consistency than human-designed proxies on NLP tasks.
DRA-GRPO: Your GRPO Needs to Know Diverse Reasoning Paths for Mathematical Reasoning (2026.findings-acl)

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Challenge: Existing methods for group-relative policy optimization rely on scalar correctness rewards that are often non-injective with respect to semantic content.
Approach: They propose a framework that calibrates the reward signal using the semantic density of sampled groups.
Outcome: The proposed framework outperforms strong baselines on five math benchmarks with 7,000 samples and 55 cost.
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research (2025.findings-emnlp)

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Challenge: a rapid advancement of perovskite solar cells has led to an exponential growth in research publications.
Approach: They propose a knowledge-enhanced system for perovskite solar cells that integrates three key components.
Outcome: The proposed system outperforms existing models in domain-specific knowledge retrieval and scientific reasoning tasks.
LongGenBench: Long-context Generation Benchmark (2024.findings-emnlp)

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Challenge: Current long-context benchmarks focus on retrieval-based tests, requiring Large Language Models to locate specific information within extensive input contexts.
Approach: They propose a long-context generation benchmark that allows for flexible configurations of customized generation context lengths.
Outcome: The proposed benchmark improves performance on NIAH and other retrieval-based tests.

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