Accounting for Bias Enables Sustainable LLM Evaluation
arXiv:2609.31184v1 Announce Type: new Abstract: LLM-as-a-judge has become the de facto standard for scalable, subjective evaluation, yet current leaderboards compensate…
AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Side
arXiv:2609.31166v1 Announce Type: cross Abstract: Recommender systems have traditionally been developed for platforms. However, this has given rise to many…
Improving Visual Sensitivity of LLMs on Multimodal Machine Translation with Metric-based Loss Weighting
arXiv:2609.31169v1 Announce Type: cross Abstract: Multimodal Machine Translation aims to incorporate additional signal from non-textual modalities to improve translations by…
ArGuard Shared Task: Harmful Content Detection in Arabic Memes and LLM Prompts
arXiv:2609.29349v2 Announce Type: replace-cross Abstract: ArGuard is a shared task on harmful content detection in Arabic memes and LLM prompts.…
FLIP: Final Layer Inference-Time Probing for Vision-Language Models
arXiv:2609.30993v1 Announce Type: cross Abstract: We present FLIP, a final-layer inference-time probe for testing whether a logit-facing intervention site in…
RAPTOR: Ridge-Adaptive Logistic Probes
arXiv:2602.00158v3 Announce Type: replace-cross Abstract: Probing studies what information is encoded in a frozen LLM’s layer representations by training a…
When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing
arXiv:2609.28475v1 Announce Type: new Abstract: Forecasting agents increasingly combine language-model reasoning, retrieval, ensembling, and calibration, but it remains unclear when…
Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching
arXiv:2609.28107v2 Announce Type: replace-cross Abstract: Advances in generative modeling have recently been extensively employed in robotics for policy learning. In…