5 papers
Narrative Lookahead in LLMs: Event-Level Decodability, Predictive Advantage, and Steering
Donghoon Jung, Min Kim, Seojin Choi +2
Do language models carry information about narrative events before writing them, and how far ahead? We examine narrative lookahead through salient, state-changing events rather tha…
Self- and Other-Labels Induce Bidirectional Bias in LLM Judges
Songeun Chae, Min Kim, Donghoon Jung +2
As LLM-as-a-judge becomes increasingly widespread, self-preference -- the tendency of a judge to favor its own outputs -- raises growing concerns about evaluation reliability. Howe…
Narrative Landscape: Mapping Narrative Dispositions Across LLMs
Donghoon Jung, Jiwoo Choi, Songeun Chae +1
This study proposes a quantitative framework for profiling LLM dispositions as stable, model-specific regularities in output under repeated, controlled elicitation. Using a structu…
Style over Story: Measuring LLM Narrative Preferences via Structured Selection
Donghoon Jung, Jiwoo Choi, Songeun Chae +1
We introduce a constraint-selection-based experiment design for measuring narrative preferences of Large Language Models (LLMs). This design offers an interpretable lens on LLMs' n…
Text-to-SQL for Enterprise Data Analytics
Albert Chen, Manas Bundele, Gaurav Ahlawat +15
The introduction of large language models has brought rapid progress on Text-to-SQL benchmarks, but it is not yet easy to build a working enterprise solution. In this paper, we pre…