Papers
SSA: Improving Performance With a Better Scoring Function
Omar Naim, Swarnadeep Bhar, Jerome Bolte et al.
Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse
Chi Zhang, Mengqi Zhang, Xiaotian Ye et al.
Compatibility-Aware Dynamic Fine-Tuning for Large Language Models
Yucheng Zhou, Junwei Sheng, Qianning Wang et al.
One Cognitive Loop Is Enough: SODA unlocks Pure-Text Spatial Reasoning in Large Language Models
Shunwen Bai, Jiahuan Zhang, Haoran Huang et al.
From Language to Driving: A Dual-Loop SLM-Enhanced Framework for Multi-Planner Scheduling via a Domain-Specific Language
Jiawei Liu, Xun Gong, Muli Yang et al.
Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models
Youngji Roh, Hyunjin Cho, Jaehyung Kim
Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework
Chenyuan Zhang, Qiguang Chen, Xie Chen et al.
Can LLMs Act as Historians? Evaluating Historical Research Capabilities of LLMs via the Chinese Imperial Examination
Lirong Gao, Zeqing Wang, Yuyan Cai et al.
From Weights to Activations: Is Steering the Next Frontier of Adaptation?
Simon Ostermann, Daniil Gurgurov, Tanja Baeumel et al.
CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution
Teng Pan, Yuchen Yan, Zixuan Wang et al.
MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agents
Ruihan Chen, Qiming Li, Xiaocheng Feng et al.
Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models
Jiayi Zhang, Shu Yang, Junchao Wu et al.
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP
Kushal Tatariya, Artur Kulmizev, Wessel Poelman et al.
HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical Chunking
Wensheng Lu, Keyu Chen, Zhifeng Shen et al.
LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring
Ning Li, Zheng Zhang, Zhenya Huang et al.
Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization
Tian Xueyun, MingHua Ma, Bingbing Xu et al.
Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient Inference
Zhouxuwen, Fangxin Liu, Chao Wang et al.
Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula
Zhihao Shuai, Yiyun Chen, Maolin Ma et al.
Culture-Aware Machine Translation in Large Language Models: Benchmarking and Investigation
Zekun Yuan, Yangfan Ye, Xiaocheng Feng et al.
TOWER+: Bridging Generality and Translation Specialization in Multilingual LLMs
Ricardo Rei, Nuno M Guerreiro, José Pombal et al.
LLMs (Almost) Never Abstain Under Medical Uncertainty
Alessio Cocchieri, Luca Ragazzi, Giuseppe Tagliavini et al.
GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval
Minghan Li, Tianrui Lv, Chao Zhang et al.
DEFT: Demystifying VLN Failures via a Unified Dual-View Explainability Framework for LLM-based Agents
Yawen Wang, Yihan Dai, Jianming Chen et al.
Modal Dependency Parsing as Structured Prediction over Source-Cue Scope
Jayeol Chun, Nianwen Xue
Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models
Shihao Liu, Xiaofei Zhou, Bo Wang et al.