2 papers
cs.CL2026
Pruning via Causal Attribution Preserves Reasoning Performance in Large Language Models
Amogh Sheth, Biruk Assefa, Yi Wen Huang +2
Large language models (LLMs) excel at multi-step reasoning but incur substantial inference cost. We introduce Causal Attribution Pruning (CAP), a training-free method that identifi…
cs.CV2025
COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark
Ishant Chintapatla, Kazuma Choji, Naaisha Agarwal +6
Recently, many benchmarks and datasets have been developed to evaluate Vision-Language Models (VLMs) using visual question answering (VQA) pairs, and models have shown significant…