Papers by Chompakorn Chaksangchaichot

4 papers
FourCorners: A Production Knowledge Graph Unifying Thailand’s Legal System (2026.acl-industry)

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Challenge: Thai legal data lacks standardized, machine-readable data formats . authors: combining legal data requires understanding structural relationships that no existing resource captures.
Approach: They propose a unified temporal knowledge graph for Thai legal data . it integrates 3,840 laws with 87,394 Supreme Court decisions, updated daily .
Outcome: The proposed graph integrates 3,840 laws with 87,394 Supreme Court decisions . it achieves Citation F1 of 0.812 versus 0.666 for practitioner-standard web search .
Evaluating Perspectival Biases in Cross-Modal Retrieval (2026.findings-acl)

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Challenge: a recent study shows that multimodal retrieval systems are expected to operate in a semantic space, agnostic to the language or cultural origin of the query.
Approach: They introduce a benchmark to quantify linguistic and cultural biases in multimodal retrieval systems . they propose a framework to decouple language from culture and decouples it from semantics .
Outcome: The proposed benchmark systematically measures the effects of linguistic and cultural biases on retrieval performance.
NitiBench: Benchmarking LLM Frameworks on Thai Legal Question Answering Capabilities (2025.emnlp-main)

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Challenge: Large language models (LLMs) show promise in legal question answering (QA), yet Thai legal QA systems face challenges due to limited data and complex legal structures.
Approach: They propose a benchmark which uses Thai financial laws and tax rulings to evaluate Thai legal QA systems.
Outcome: The proposed benchmark compared retrieval-augmented generation and long-context LLM approaches across three key dimensions and found that they improve over naive methods.
FourCorners: Grounded Thai Legal Research over a Temporal Knowledge Graph (2026.acl-demo)

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Challenge: a new platform addresses five pain points in legal research in Thailand . the tools available to legal practitioners are fragmented and lack a unified tool for cross-referencing, version tracking or structural navigation.
Approach: They propose a platform that addresses five practitioner pain points through three modules built on a temporal legal knowledge graph covering 552K nodes and 6.3M edges.
Outcome: The proposed platform addresses five practitioner pain points through three modules built on a temporal legal knowledge graph covering 552K nodes and 6.3M edges.

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