We have 3 of 9 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This work introduces a minimal "observer-effect" prompting technique, which demonstrates that subtle social-facilitation cues can reliably activate higher vigilance in LLMs without the need for additional reasoning instructions.
A novel, interpretable metric for intrinsic KG quality assessment that measures how closely an automatically extracted graph approximates an"ideal"graph capturing the key noun phrases, predicate relations, and basic linguistic phenomena such as negation expressed in the source text is proposed.
Experimental results show that retrieval grounding, constrained query generation, and interactive verification substantially improve constraint extraction accuracy, SQL executability, logical consistency, and multi-turn stability compared to baseline LLM-based approaches.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
