Scientific Publications
Papers, Methods & Results
The publications are organized by venue prominence and relevance. Each entry explains what was done, where it appeared, and why the venue matters.
Enhancing Small Language Models in RAG via Triplet-Guided In-Context Distillation
A training-free approach to RAG for small language models: an LLM creates structured examples that help an SLM use retrieved sources more effectively, without additional fine-tuning.
ChatGPT vs. Crowdsourcing vs. Experts: Annotating Open-Domain Conversations with Speech Functions
A comparison of experts, crowdworkers, and ChatGPT on complex discourse annotation. A structured decision-tree approach enabled an LLM to approach human-level performance on certain tasks.
Improving LLM-Driven Data Annotation Through Structured Instruction Engineering
A study of how instruction structure affects LLM annotation quality, treating instruction engineering as a controllable component of automatic annotation.
Exploring the Potential of Large Language Models for Text-Based Personality Prediction
Using LLMs for text-based personality prediction: the Big Five, prompt engineering, and comparisons with traditional approaches.
Text-based Personality Prediction Using Large Language Models
Further research on LLMs and personality: identifying personality traits from text and analyzing the effectiveness of prompt-based methods.
Exploring the Potential of Large Language Models to Simulate Personality
From recognizing personality to simulating it: can LLMs consistently reproduce target Big Five traits, and how can this be measured?