Papers
Exploring Artificial Image Generation for Stance Detection
Zhengkang Zhang, Zhongqing Wang, Guodong Zhou
Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context
Rushi Wang, Jiateng Liu, Cheng Qian et al.
VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data
Tingqiao Xu, Ziru Zeng, Jiayu Chen
(Almost) Free Modality Stitching of Foundation Models
Jaisidh Singh, Diganta Misra, Boris Knyazev et al.
Benchmarking Debiasing Methods for LLM-based Parameter Estimates
Nicolas Audinet de Pieuchon, Adel Daoud, Connor Thomas Jerzak et al.
Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models
Francesca Padovani, Jaap Jumelet, Yevgen Matusevych et al.
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty
Peilin Wu, Mian Zhang, Xinlu Zhang et al.
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
Minxuan Lv, Zhenpeng Su, Leiyu Pan et al.
Who Holds the Pen? Caricature and Perspective in LLM Retellings of History
Lubna Zahan Lamia, Mabsur Fatin Bin Hossain, Md Mosaddek Khan
Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance
Haozhe Zhao, Shuzheng Si, Liang Chen et al.
Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation
Sofia Jamil, Kotla Sai Charan, Sriparna Saha et al.
Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts
Georgios Chochlakis, Peter Wu, Tikka Arjun Singh Bedi et al.
Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment
Ahmed Karim, Qiao Wang, Zheng Yuan
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
Jiaxuan Zhao, Naibin Gu, Yuchen Feng et al.
Path Drift in Large Reasoning Models: How First-Person Commitments Override Safety
Yuyi Huang, Runzhe Zhan, Lidia S. Chao et al.
VocalNet: Speech LLMs with Multi-Token Prediction for Faster and High-Quality Generation
Yuhao Wang, Heyang Liu, Ziyang Cheng et al.
Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs
Mario Sanz-Guerrero, Minh Duc Bui, Katharina von der Wense
Evaluating Cognitive-Behavioral Fixation via Multimodal User Viewing Patterns on Social Media
Yujie Wang, Yunwei Zhao, Jing Yang et al.
Speculative Streaming: Efficient and Scalable Speculative Decoding with Multi-Stream Attention
Nikhil Bhendawade, Irina Belousova, Qichen Fu et al.
Intrinsic Test of Unlearning Using Parametric Knowledge Traces
Yihuai Hong, Lei Yu, Haiqin Yang et al.
InfiniBench: A Benchmark for Large Multi-Modal Models in Long-Form Movies and TV Shows
Kirolos Ataallah, Eslam Mohamed Bakr, Mahmoud Ahmed et al.
3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
Hongxin Ding, Yue Fang, Runchuan Zhu et al.
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang et al.
Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions
Nicholas Deas, Kathleen McKeown
LLM-Driven Completeness and Consistency Evaluation for Cultural Heritage Data Augmentation in Cross-Modal Retrieval
Jian Zhang, Junyi Guo, Junyi Yuan et al.