Papers
2,781 papers found
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration
Yihe Deng, Chenchen Ye, Zijie Huang et al.
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar et al.
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
Xuefei Ning, Zifu Wang, Shiyao Li et al.
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Ching-An Cheng, Allen Nie, Adith Swaminathan
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi et al.
Panacea: Pareto Alignment via Preference Adaptation for LLMs
Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang et al.
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight
Ziyuan Huang, Kaixiang Ji, Biao Gong et al.
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
Junho Myung, Nayeon Lee, Yi Zhou et al.
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
Yubin Kim, Chanwoo Park, Hyewon Jeong et al.
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
Hongzhan Lin, Ang Lv, Yuhan Chen et al.
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
Qi Chen, Bowen Zhang, Gang Wang et al.
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
Xin Ma, Yang Liu, Jingjing Liu et al.
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
Shengbang Tong, Ellis Brown, Penghao Wu et al.
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability
Yanrui Du, Sendong Zhao, Danyang Zhao et al.
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
Haokun Lin, Haobo Xu, Yichen Wu et al.
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models
Wenshan Wu, Shaoguang Mao, Yadong Zhang et al.
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
Zhuo Chen, Rumen Dangovski, Charlotte Loh et al.
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh et al.
Hypothesis Testing the Circuit Hypothesis in LLMs
Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret et al.
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
Qizhang Li, Yiwen Guo, Wangmeng Zuo et al.
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans
Jen-tse Huang, Man Ho Lam, Eric John Li et al.
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
Liangxin Liu, Xuebo Liu, Derek F. Wong et al.
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction
Zichao Li, Yanshuai Cao, Jackie C.K. Cheung
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
Jingnan Zheng, Han Wang, An Zhang et al.
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
Yuxin Wang, Duanyu Feng, Yongfu Dai et al.