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…