3 papers
cs.CL2026
Capability Provenance in Language Models: A Case Study in Social Reasoning
Glenn Matlin, Chandreyi Chakraborty, Saehee Eom +8
We use training-data attribution as an interpretable tool for capability discovery, mapping which regions of the pretraining corpus support social-reasoning versus STEM-reasoning i…
cs.LG2026
On the Quantization Robustness of Diffusion Language Models in Coding Benchmarks
Aarav Gupta, Gururaj Deshpande, Chandreyi Chakraborty
Auto-regressive Large Language Models (LLMs) achieve strong performance on coding tasks, but incur high memory and inference costs. Diffusion-based language models (d-LLMs) offer b…
cs.CL2025
Do Language Models Agree with Human Perceptions of Suspense in Stories?
Glenn Matlin, Devin Zhang, Rodrigo Barroso Loza +4
Suspense is an affective response to narrative text that is believed to involve complex cognitive processes in humans. Several psychological models have been developed to describe…