2 papers
cs.CV2026
HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token
Sai Akhil Kogilathota, Sripadha Vallabha E G, Luzhe Sun +1
Hallucinations remain a persistent challenge for vision-language models (VLMs), which often describe nonexistent objects or fabricate facts. Existing detection methods typically op…
cs.CL2026
Self-Improvement of Large Language Models: A Technical Overview and Future Outlook
Haoyan Yang, Mario Xerri, Solha Park +4
As large language models (LLMs) continue to advance, improving them solely through human supervision is becoming increasingly costly and limited in scalability. As models approach…