Papers
Advancing E-commerce Merchants Telemarketing with Synthetic Data-Driven LLMs
Qi Gou, Zehua Xia, Li Juan et al.
Semantic Agreement Enables Efficient Open-Ended LLM Cascades
Duncan Soiffer, Steven Kolawole, Virginia Smith
Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression
Yi Zhang, Kai Zhang, Zheyang Li et al.
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services
Fei Zhao, Chonggang Lu, Wangyue et al.
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction
Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury et al.
Toward Optimal LLM Alignments Using Two-Player Games
Rui Zheng, Hongyi Guo, Zhihan Liu et al.
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
Rui Lv, Qi Liu, Weibo Gao et al.
LLMsPark: A Benchmark for Evaluating Large Language Models in Strategic Gaming Contexts
Junhao Chen, Jingbo Sun, Xiang Li et al.
DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs
Xinyi Wang, Yiping Song, Chang Liu et al.
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
Xiang Liu, Penglei Sun, Shuyan Chen et al.
Improving LLM Reasoning through Interpretable Role-Playing Steering
Anyi Wang, Dong Shu, Yifan Wang et al.
Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction
Shichen Li, Jiawei Zhang, Zhongqing Wang et al.
Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning
Zhaohui Yang, Yuxiao Ye, Shilei Jiang et al.
LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation
Leqi Zheng, Chaokun Wang, Canzhi Chen et al.
Dagger Behind Smile: Fool LLMs with a Happy Ending Story
Xurui Song, Zhixin Xie, Shuo Huai et al.
What’s Not Said Still Hurts: A Description-Based Evaluation Framework for Measuring Social Bias in LLMs
Jinhao Pan, Chahat Raj, Ziyu Yao et al.
Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement Learning
Kepu Zhang, Guofu Xie, Weijie Yu et al.
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
Cheng Qian, Hongyi Du, Hongru Wang et al.
EvolKV: Evolutionary KV Cache Compression for LLM Inference
Bohan Yu, Yekun Chai
Attention Consistency for LLMs Explanation
Tian Lan, Jinyuan Xu, Xue He et al.
Confusion is the Final Barrier: Rethinking Jailbreak Evaluation and Investigating the Real Misuse Threat of LLMs
Yu Yan, Sheng Sun, Zhe Wang et al.
Do LLMs Understand Wine Descriptors Across Cultures? A Benchmark for Cultural Adaptations of Wine Reviews
Chenye Zou, Xingyue Wen, Tianyi Hu et al.
A Structured Framework for Evaluating and Enhancing Interpretive Capabilities of Multimodal LLMs in Culturally Situated Tasks
Haorui Yu, Ramon Ruiz-Dolz, Qiufeng Yi
Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications
Yiming Zeng, Wanhao Yu, Zexin Li et al.
Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference
Hao Mark Chen, Wayne Luk, Yiu Ka Fai Cedric et al.