Papers
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement
Maosong Cao, Taolin Zhang, Mo Li et al.
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
Ruixiang Feng, Shen Gao, Xiuying Chen et al.
LESA: Learnable LLM Layer Scaling-Up
Yifei Yang, Zouying Cao, Xinbei Ma et al.
Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
Xiang Zhuang, Bin Wu, Jiyu Cui et al.
S2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Ruotian Ma, Peisong Wang, Cheng Liu et al.
Look Both Ways and No Sink: Converting LLMs into Text Encoders without Training
Ziyong Lin, Haoyi Wu, Shu Wang et al.
Around the World in 24 Hours: Probing LLM Knowledge of Time and Place
Carolin Holtermann, Paul Röttger, Anne Lauscher
“What do you call a dog that is incontrovertibly true? Dogma”: Testing LLM Generalization through Humor
Alessio Cocchieri, Luca Ragazzi, Paolo Italiani et al.
From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning
Linjuan Wu, Hao-Ran Wei, Baosong Yang et al.
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
Ke Yi, Yuhui Xu, Heng Chang et al.
Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention
Zhaoxin Feng, Jianfei Ma, Emmanuele Chersoni et al.
Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions
Yiqun Wang, Chaoqun Wan, Sile Hu et al.
Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning
Shaobo Wang, Xiangqi Jin, Ziming Wang et al.
Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
Shuo Tang, Xianghe Pang, Zexi Liu et al.
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
Yige Xu, Xu Guo, Zhiwei Zeng et al.
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
Mengru Wang, Ziwen Xu, Shengyu Mao et al.
MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization
Borui Li, Yitao Wang, Haoran Ma et al.
Small Changes, Big Impact: How Manipulating a Few Neurons Can Drastically Alter LLM Aggression
Jaewook Lee, Junseo Jang, Oh-Woog Kwon et al.
Finding Needles in Images: Can Multi-modal LLMs Locate Fine Details?
Parth Thakkar, Ankush Agarwal, Prasad Kasu et al.
Prediction Hubs are Context-Informed Frequent Tokens in LLMs
Beatrix Miranda Ginn Nielsen, Iuri Macocco, Marco Baroni
Don’t Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls
Ante Wang, Linfeng Song, Ye Tian et al.
Uncertainty-Aware Iterative Preference Optimization for Enhanced LLM Reasoning
Lei Li, Hehuan Liu, Yaxin Zhou et al.
Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States
Yang Xiao, Jiashuo Wang, Qiancheng Xu et al.
Analyzing LLMs’ Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
Chenghao Xiao, Hou Pong Chan, Hao Zhang et al.
HalluLens: LLM Hallucination Benchmark
Yejin Bang, Ziwei Ji, Alan Schelten et al.