arXiv Artificial IntelligenceHow Identity and Opinion Shape Political Sycophancy in LLMs
arXiv:2608.29198v1 Announce Type: new Abstract: As Large Language Models (LLMs) increasingly encourage users…
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arXiv Artificial IntelligencearXiv:2608.29198v1 Announce Type: new Abstract: As Large Language Models (LLMs) increasingly encourage users…
arXiv Artificial IntelligencearXiv:2608.29175v1 Announce Type: new Abstract: Temporal inconsistencies, such as mandates attributed outside…
arXiv Artificial IntelligencearXiv:2608.29168v1 Announce Type: new Abstract: The LLM-as-a-Judge paradigm has emerged as a scalable…
arXiv Artificial IntelligencearXiv:2608.29139v1 Announce Type: new Abstract: Learning effective multimodal entity representations is…
arXiv Artificial IntelligencearXiv:2608.29128v1 Announce Type: new Abstract: Tool-using agents are commonly evaluated by a single bit…
arXiv Artificial IntelligencearXiv:2608.29127v1 Announce Type: new Abstract: We propose a scalable, validity-oriented pipeline for…
arXiv Artificial IntelligencearXiv:2608.29118v1 Announce Type: new Abstract: Fine-tuning large language models (LLMs) on narrowly harmful…
arXiv Artificial IntelligencearXiv:2608.29102v1 Announce Type: new Abstract: This paper develops a unified theoretical framework showing…
arXiv Artificial IntelligencearXiv:2608.29098v1 Announce Type: new Abstract: Multimodal safety moderation requires distinguishing risks…
arXiv Artificial IntelligencearXiv:2608.29092v1 Announce Type: new Abstract: Large vision-language models (LVLMs) frequently generate…
arXiv Artificial IntelligencearXiv:2608.29088v1 Announce Type: new Abstract: Multimodal question answering remains sensitive to noisy…
arXiv Artificial IntelligencearXiv:2608.29074v1 Announce Type: new Abstract: We study online optimization with nested shrinking feasible…