Papers
Protecting Language Models Against Unauthorized Distillation through Trace Rewriting
Xinhang Ma, William Yeoh, Ning Zhang et al.
Beyond Pedagogical Principles: Multi-Horizon Preference Optimization for Efficient Socratic Tutoring
Xin Shi, Chao Zhang, Yifan Zhu et al.
Forest Before Trees: Latent Superposition for Efficient Visual Reasoning
Yubo Wang, Juntian Zhang, Yichen Wu et al.
ProgressLM: Towards Progress Reasoning in Vision-Language Models
Jianshu Zhang, Chengxuan Qian, Haosen Sun et al.
PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data
Paweł Batorski, Paul Swoboda
DMN: A Compositional Framework for Jailbreaking Multimodal LLMs with Multi-Image Inputs
Wenzhuo Xu, Zhipeng Wei, Zonghao Ying et al.
Sherry: Hardware-Efficient 1.25-Bit Ternary Quantization via Fine-grained Sparsification
Hong Huang, Decheng Wu, Qiangqiang Hu et al.
CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
Jiahui Geng, Fengyu Cai, Shaobo Cui et al.
Vector Calligrapher: Generating Scalable Vector Graphics via Structured Linguistic Supervision
Bo Zhou, Xikang Chen, Yan Gong et al.
Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring
Jamshid Mozafari, Bhawna Piryani, Adam Jatowt
CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit
Kangyu Wang, Zhiyun Jiang, Haibo Feng et al.
Towards Mitigating Modality Bias in Vision-Language Models for Temporal Action Localization
Jiaqi Li, Guangming Wang, Shuntian Zheng et al.
Limited Linguistic Diversity in Embodied AI Datasets
Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity et al.
Reinforcement Learning on Pre-Training Data
Siheng Li, Kejiao Li, Zenan Xu et al.
Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-Training
Mengxiang Zhang, Lingyuan Liu
Learning from the Irrecoverable: Error-Localized Policy Optimization for Tool-Integrated LLM Reasoning
Qiao Liang, Yuke Zhu, Chao Ge et al.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
FengXian Dong, Zhi Zheng, Xiao Han et al.
Defenses Against Prompt Attacks Learn Surface Heuristics
Li Li, Chenxiao Yu, Zhiyu Ni et al.
Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search Trajectories
Peiyang Liu, Zhirui Chen, Xi Wang et al.
CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels
Xing Ma, Yangjie Zhou, Wu Sun et al.
ODUTQA-MDC: A Task for Open-Domain Underspecified Tabular QA with Multi-turn Dialogue-based Clarification
Zhensheng Wang, ZhanTeng Lin, Wenmian Yang et al.
Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
Stefan Krsteski, Giuseppe Russo, Serina Chang et al.
Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?
Lorenzo Molfetta, Alessio Cocchieri, Luca Ragazzi et al.
How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study
Zhen Yang, Ping Jian, Zhongbin Guo et al.
Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language Models
Vu Tuan Truong, Long Bao Le