Papers
Weak2Wise: An Automated, Lightweight Framework for Weak-LLM-Friendly Reasoning Synthesis
Jianing Lin, Yuanfang Guo, Shunning Liu et al.
CodeComplex: Dataset for Worst-Case Time Complexity Prediction
SeungYeop Baik, Joonghyuk Hahn, Jungin Kim et al.
Out-of-Context Reasoning in Large Language Models
Jonathan Shaki, Emanuele La Malfa, Michael J. Wooldridge et al.
Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation
SungHwan Kim, Kwangwook Seo, Tongyoung Kim et al.
ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense
Shiyu Xiang, Tong Zhang, Ronghao Chen
CLEAR: A Comprehensive Linguistic Evaluation of Argument Rewriting by Large Language Models
Thomas Huber, Christina Niklaus
More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG
Shahar Levy, Nir Mazor, Lihi Shalmon et al.
On the Versatility of Sparse Autoencoders for In-Context Learning
Ikhyun Cho, Gaeul Kwon, Julia Hockenmaier
CAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive Tasks
Sunguk Choi, Yonghoon Kwon, Heondeuk Lee
MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language
Seyoung Song, Seogyeong Jeong, Eunsu Kim et al.
Defending against Indirect Prompt Injection by Instruction Detection
Tongyu Wen, Chenglong Wang, Xiyuan Yang et al.
GRPO-Guided Modality Selection Enhanced LoRA-Tuned LLMs for Multimodal Emotion Recognition
Yang Chen, Shuwan Yang, Yan Xiang et al.
OVFact: Measuring and Improving Open-Vocabulary Factuality for Long Caption Models
Monika Wysoczańska, Shyamal Buch, Anurag Arnab et al.
LC-Eval: A Bilingual Multi-Task Evaluation Benchmark for Long-Context Understanding
Sheikh Jubair, Arwa Omayrah, Amal Alshammari et al.
ReCoVeR the Target Language: Language Steering without Sacrificing Task Performance
Hannah Sterz, Fabian David Schmidt, Goran Glavaš et al.
Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data Generation
Guangzeng Han, Weisi Liu, Xiaolei Huang
Beyond Fixed-Length Calibration for Post-Training Compression of LLMs
Jaehoon Oh, Dokwan Oh
TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling
Julien Knafou, Luc Mottin, Anaïs Mottaz et al.
Over-Generation and Compaction: A Prompting Strategy for Procedural Text Adaptation with Large Language Models
Hyeongsik Kim, Yanheng Xu, Chaoqun Dong et al.
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings
Liyan Xu, Zhenlin Su, Mo Yu et al.
BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text
Ibrahim Al Azher, Miftahul Jannat Mokarrama, Zhishuai Guo et al.
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation
Hao Chen, Yukun Yan, Sen Mei et al.
IoTMigrator: LLM-driven Embedded IoT Code Migration across Different OSes for Cloud-device Integration
Yq, Kaijie Gong, Yi Gao et al.
GRAD: Generative Retrieval-Aligned Demonstration Sampler for Efficient Few-Shot Reasoning
Oussama Gabouj, Kamel Charaf, Ivan Zakazov et al.
Adaptive Preference Optimization with Uncertainty-aware Utility Anchor
Xiaobo Wang, Zixia Jia, Jiaqi Li et al.