Papers
Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation
Jiajun Shen, Tong Zhou, Yubo Chen et al.
iAgent: LLM Agent as a Shield between User and Recommender Systems
Wujiang Xu, Yunxiao Shi, Zujie Liang et al.
Mind the (Belief) Gap: Group Identity in the World of LLMs
Angana Borah, Marwa Houalla, Rada Mihalcea
A General Framework to Enhance Fine-tuning-based LLM Unlearning
Jie Ren, Zhenwei Dai, Xianfeng Tang et al.
Right Answer, Wrong Score: Uncovering the Inconsistencies of LLM Evaluation in Multiple-Choice Question Answering
Francesco Maria Molfese, Luca Moroni, Luca Gioffré et al.
MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs
Kaustubh Deshpande, Ved Sirdeshmukh, Johannes Baptist Mols et al.
Safety is Not Only About Refusal: Reasoning-Enhanced Fine-tuning for Interpretable LLM Safety
Yuyou Zhang, Miao Li, William Han et al.
Is a cute puyfred cute? Context-dependent form-meaning systematicity in LLMs
Jaïr A. Waal, Giovanni Cassani
Outlier-weighed Layerwise Sampling for LLM Fine-tuning
Pengxiang Li, Lu Yin, Xiaowei Gao et al.
KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial Recomputation
Chaoyi Jiang, Lei Gao, Hossein Entezari Zarch et al.
Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs
Hongming Yang, Shi Lin, Jun Shao et al.
Whether LLMs Know If They Know: Identifying Knowledge Boundaries via Debiased Historical In-Context Learning
Bo Lv, Nayu Liu, Yang Shen et al.
How do LLMs’ Preferences Affect Event Argument Extraction? CAT: Addressing Preference Traps in Unsupervised EAE
Yunhao Wei, Kai Shuang, Zhiyi Li et al.
Patterns Over Principles: The Fragility of Inductive Reasoning in LLMs under Noisy Observations
Chunyang Li, Weiqi Wang, Tianshi Zheng et al.
LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media
Haiqi Zhang, Zhengyuan Zhu, Zeyu Zhang et al.
Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing
Yifan Lu, Jing Li, Yigeng Zhou et al.
Data Interpreter: An LLM Agent for Data Science
Sirui Hong, Yizhang Lin, Bang Liu et al.
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
Yixin Ou, Yunzhi Yao, Ningyu Zhang et al.
Confidence Improves Self-Consistency in LLMs
Amir Taubenfeld, Tom Sheffer, Eran Ofek et al.
None of the Above, Less of the Right Parallel Patterns in Human and LLM Performance on Multi-Choice Questions Answering
Zhi Rui Tam, Cheng-Kuang Wu, Chieh-Yen Lin et al.
ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data
Xinzhe Zheng, Sijie Ji, Jiawei Sun et al.
DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference
Juhua Zhang, Zhiliang Tian, Minghang Zhu et al.
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy
Xuemiao Zhang, Feiyu Duan, Xu Liangyu et al.
LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline
Biao Fu, Minpeng Liao, Kai Fan et al.
DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens
Shaoshen Chen, Yangning Li, Zishan Xu et al.