Papers
Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers
Liang Lin, Miao Yu, Kaiwen Luo et al.
Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data
Jiacheng Liu, Mayi Xu, Qiankun Pi et al.
Easy for Children, Hard for AI: The Limits of Multimodal LLMs in Early Childhood Learning
Jingping Liu, Xueyan Wu, Hanxuan Chen et al.
ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls
Ren-Biao Liu, Chao-Zeng Ma, Anqi Li et al.
LLM Collaboration with Multi-Agent Reinforcement Learning
Shuo Liu, Zeyu Liang, Xueguang Lyu et al.
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
Xiaoran Liu, Yuerong Song, Zhigeng Liu et al.
HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation
Yiran Liu, Zhiyi Hou, Xiaoang Xu et al.
SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning
Lingkun Long, Rubing Yang, Yushi Huang et al.
QueryAligner: Customizing User Query to Match LLMs Preferences for Better Intent Recognition
Yunlong Ma, Bo Wang, Yihong Tang et al.
A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis
Wenxuan Mu, Jinzhong Ning, Di Zhao et al.
TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
Chenxu Niu, Wei Zhang, Jie Li et al.
Bias Association Discovery Framework for Open-Ended LLM Generations
Jinhao Pan, Chahat Raj, Ziwei Zhu
WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety
Shilong Pan, Zhiliang Tian, Wanlong Yu et al.
WaterMod: Modular Token-Rank Partitioning for Probability-Balanced LLM Watermarking
Shinwoo Park, Hyejin Park, Hyeseon Ahn et al.
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs
Zhan Qu, Shuzhou Yuan, Michael Färber
RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions
Yanchi Ru, Yue Huang, Xiangliang Zhang
Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation
Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa et al.
Positional Cognitive Specialization: Where Do LLMs Learn to Comprehend and Speak Your Language?
Luis Frentzen Salim, Lun-Wei Ku, Hsing-Kuo Kenneth Pao
AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs
Debdeep Sanyal, Manodeep Ray, Murari Mandal
LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models
Tiesunlong Shen, Rui Mao, Jin Wang et al.
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios
Luohe Shi, Zuchao Li, Lefei Zhang et al.
From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
Weikang Shi, Houxing Ren, Junting Pan et al.
Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty
Zeyu Shi, Ziming Wang, Tianyu Chen et al.
qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs
Shreya Shukla, Aditya Sriram, Milinda Kuppur Narayanaswamy et al.
Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction
Yuerong Song, Xiaoran Liu, Ruixiao Li et al.