Semantics of Subterfuge: Benchmarking Legal Deception Detection Against General-domain State-of-the-Art

arXiv:2607.29066 · cs.CL, cs.AI · Submitted 2026-07-31 · Read on arXiv

Theekshana Samaradiwakara, Nisansa de Silva, George C. Lobb

cs.CL, cs.AI

Submitted: 2026-07-31

Comments: 5 pages paper

Journal ref: ICAIL 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fine-Tuning — 12× in this paper · explained in 5 episodes
• Transformer — 10× in this paper · explained in 2 episodes
• Benchmarking — 5× in this paper · explained in 4 episodes
• Large Language Model — 5× in this paper
• Natural Language Processing — 5× in this paper
• F1 Score — 4× in this paper · explained in 4 episodes
• Transformers — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Domain Adaptation — 3× in this paper · explained in 5 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Transformer Model — 3× in this paper · explained in 2 episodes
• Transformer Models — 3× in this paper · explained in 3 episodes
• Few-Shot Learning — 2× in this paper · explained in 6 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• NLP-based Automatic Deception Detection — 2× in this paper
• Overfitting — 2× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 6 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Adversarial Robustness — 1× in this paper · explained in 4 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 5 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Class Imbalance — 1× in this paper · explained in 3 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decision-Support Tool — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Real-Life Trial Deception — 1× in this paper
• Robustness — 1× in this paper · explained in 6 episodes
• Zero-shot Chain-of-Thought — 1× in this paper

Sources

• Can Deception Detection Go Deeper? Dataset, Evaluation, and Benchmark for Deception Reasoning
• Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings
• Finding Deceptive Opinion Spam by Any Stretch of the Imagination
• UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection
• "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection
• CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction
• Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method

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