Papers
246 papers found
WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration
Heyi Tao, Sethuraman T V, Michal Shlapentokh-Rothman et al.
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
Yu Zhao, Alessio Devoto, Giwon Hong et al.
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
Changhai Zhou, Shijie Han, Lining Yang et al.
MALTO at SemEval-2025 Task 3: Detecting Hallucinations in LLMs via Uncertainty Quantification and Larger Model Validation
Claudio Savelli, Alkis Koudounas, Flavio Giobergia
NLP-Cimat at SemEval-2025 Task 11: Prompt Optimization for LLMs via Genetic Algorithms and Systematic Mutation applied on Emotion Detection
Guillermo Segura-Gómez, Adrian Pastor Lopez Monroy, Fernando Sanchez - Vega et al.
Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment
Kai-Po Chang, Wei-Yuan Cheng, Chi-Pin Huang et al.
DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation
Hyeseon An, Shinwoo Park, Suyeon Woo et al.
Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
Minseok Kim, Jingxiang Chen, Seong-Gyun Leem et al.
Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory
Yiheng Zhao, Yuanliang Li, Shreya Savant et al.
From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
Yichao Feng, Haoran Luo, Lang Feng et al.
Is Symbolic Music a Specific Language? Exploring Inspiration-to-Structure Machine Composition via LLMs
Zhejing Hu, Yan Liu, Zhi Zhang et al.
Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier
Hyeongseop Rha, Jeong Hun Yeo, Yeonju Kim et al.
Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation
Xinrui Chen, Hongxing Zhang, Fanyi Zeng et al.
MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents
Renke Dai, Hebin Hu, Jiahui Zhang et al.
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training
Seungho Choi, Sihyun Park, Minsang Kim et al.
LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
Xingyu Li, Xiaolei Liu, Cheng Liu et al.
Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization
Zijian Wang, Yanxiang Ma, Chang Xu
Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation
Hefei Xu, Le Wu, Chen Cheng et al.
SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention
Bohan Yu, Wei Huang, Kang Liu
Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection
Nastaran Darabi, Devashri Naik, Sina Tayebati et al.
Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training
Jianfeng Si, Lin Sun, Zhewen Tan et al.
Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention
Sora Kadotani, Kosuke Nishida, Kyosuke Nishida
BioMistral-Clinical: A Scalable Approach to Clinical LLMs via Incremental Learning and RAG
Ziwei Chen, Bernhard Bermeitinger, Christina Niklaus
Training Long-Context LLMs Efficiently via Chunk-wise Optimization
Wenhao Li, Yuxin Zhang, Gen Luo et al.