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cs.CL2026
Can Hallucinations Be Useful? Solving Multi-Hop Questions With SLMs By Chaining System-I/II Reasoning
Saptarshi Sengupta, Suhang Wang
Recently, there has been increased interest in Small Language Models (SLMs), which are fast, show good performance, and have lower hardware demands than large language models (LLMs…
cs.AI2026
ICCU: In-Context Continual Unlearning via Pattern-Induced Refusal Rules
Ruihao Pan, Suhang Wang
Machine unlearning aims to remove the influence of specific data from trained language models. In real-world deployments, unlearning requests often arrive sequentially, which chall…
cs.LG2026
LLM Benchmark Datasets Should Be Contamination-Resistant
Ali Al-Lawati, Jason Lucas, Dongwon Lee +1
Benchmark datasets are critical for reproducible, reliable, and discriminative evaluation of LLMs. However, recent studies reveal that many benchmark datasets are included in pretr…