Papers
Under the Shadow of Babel: How Language Shapes Reasoning in LLMs
Chenxi Wang, Yixuan Zhang, Lang Gao et al.
ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects
Jipeng Zhang, Haolin Yang, Kehao Miao et al.
TIU-Bench: A Benchmark for Evaluating Large Multimodal Models on Text-rich Image Understanding
Kun Zhang, Liqiang Niu, Zhen Cao et al.
Estimating Machine Translation Difficulty
Lorenzo Proietti, Stefano Perrella, Vilém Zouhar et al.
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
Zhihao Zhang, Yiran Zhang, Xiyue Zhou et al.
SciCompanion: Graph-Grounded Reasoning for Structured Evaluation of Scientific Arguments
Joshua Alan Flashner, Adithya Kulkarni, Dawei Zhou
Evaluating Compound AI Systems through Behaviors, Not Benchmarks
Pranav Bhagat, K N Ajay Shastry, Pranoy Panda et al.
Facilitating Cross-lingual Transfer of Empathy through Language-independent Latent Diffusion: A Case Study in Chinese
Junlin Li, Peng Bo, Yu-Yin Hsu
DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction
Jian Chen, Zhenyan Chen, Xuming Hu et al.
BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences
Hiroto Otake, Peinan Zhang, Yusuke Sakai et al.
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.