Puzzle Solving using Reasoning of Large Language Models: A Survey (2024 · 48 citations)
This EMNLP 2024 survey examines how well large language models handle puzzles and which techniques help them.
SemEval-2026 Task 6: CLARITY – Unmasking Political Question Evasions (2026 · 25 citations)
CLARITY, SemEval-2026 Task 6, addresses a gap in NLP: detecting when politicians avoid answering a question while still appearing responsive.
AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement Detection (2026 · 2 citations)
The paper describes the AILS-NTUA entry to SemEval-2026 Task 10. The task has two parts on Reddit data: S1 asks systems to locate and label psycholinguistic conspiracy markers (ACTOR, ACTION, EFFECT, VICTIM, EVIDENCE), and S2 asks them to decide whether a comment endorses a conspiracy.
GreekMMLU: A Native-Sourced Multitask Benchmark for Evaluating Language Models in Greek (2026 · 2 citations)
Greek is often present in the training data of multilingual LLMs, but there are few trustworthy ways to measure how well these models handle it.
Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care (2026 · 1 citation)
Mental health screening still relies largely on interviews and self-reports, which are slow and prone to bias.

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Updated 1 November 2026