Papers
Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs
Sungjae Lee, Hoyoung Kim, Jeongyeon Hwang et al.
CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models
Zhuofan Chen, Jiyuan He, Yichi Zhang et al.
Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection
Debajyoti Mazumder, Aakash Kumar, Jasabanta Patro
Enhancing RAG Efficiency with Adaptive Context Compression
Shuyu Guo, Shuo Zhang, Zhaochun Ren
RG-VQA: Leveraging Retriever-Generator Pipelines for Knowledge Intensive Visual Question Answering
Settaluri Lakshmi Sravanthi, Pulkit Agarwal, Debjyoti Mondal et al.
AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
Lei Li, Xiangxu Zhang, Xiao Zhou et al.
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
Qingyu Lu, Liang Ding, Siyi Cao et al.
Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation
Wenkai Guo, Xuefeng Liu, Haolin Wang et al.
Promptception: How Sensitive Are Large Multimodal Models to Prompts?
Mohamed Insaf Ismithdeen, Muhammad Uzair Khattak, Salman Khan
Adaptive LLM Routing under Budget Constraints
Pranoy Panda, Raghav Magazine, Chaitanya Devaguptapu et al.
Enhancing Time Awareness in Generative Recommendation
Sunkyung Lee, Seongmin Park, Jonghyo Kim et al.
An Evaluation Resource for Grounding Translation Errors
Sujin Chen, Kang Wang, Zixuan Zhou et al.
Reveal and Release: Iterative LLM Unlearning with Self-generated Data
Linxi Xie, Xin Teng, Shichang Ke et al.
EoT: Evolution of Thoughts for Complex Reasoning Tasks
Qin Hua, Jiaqi Sun, Shiyou Qian et al.
PropXplain: Can LLMs Enable Explainable Propaganda Detection?
Maram Hasanain, Md Arid Hasan, Mohamed Bayan Kmainasi et al.
FaStFact: Faster, Stronger Long-Form Factuality Evaluations in LLMs
Yingjia Wan, Haochen Tan, Xiao Zhu et al.
RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models
Jingjing Liu, Zeming Liu, Zihao Cheng et al.
Cut the Deadwood Out: Backdoor Purification via Guided Module Substitution
Yao Tong, Weijun Li, Xuanli He et al.
Guiding Large Language Models for Biomedical Entity Linking via Restrictive and Contrastive Decoding
Zhenxi Lin, Ziheng Zhang, Jian Wu et al.
The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
Chanwoo Choi, Jinsoo Kim, Sukmin Cho et al.
Mitigating Spurious Correlations via Counterfactual Contrastive Learning
Fengxiang Cheng, Chuan Zhou, Xiang Li et al.
Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents
Hanxu Hu, Jannis Vamvas, Rico Sennrich
Third-Person Appraisal Agent: Simulating Human Emotional Reasoning in Text with Large Language Models
Simin Hong, Jun Sun, Hongyang Chen
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
Ryan Solgi, Kai Zhen, Rupak Vignesh Swaminathan et al.
FractalLLM: Lossless Self-Speculative Decoding with Layer Embedded Self-Compression
Juhyeong Kim, Sangyeon Yu, Gyunyeop Kim et al.