Papers
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks
Dharunish Yugeswardeenoo, Kevin Zhu, Sean O’Brien
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
Parinthapat Pengpun, Can Udomcharoenchaikit, Weerayut Buaphet et al.
AFPQ: Asymmetric Floating Point Quantization for LLMs
Yijia Zhang, Sicheng Zhang, Shijie Cao et al.
A Grounded Preference Model for LLM Alignment
Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan et al.
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
Henry Peng Zou, Vinay Samuel, Yue Zhou et al.
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs
Naihao Deng, Zhenjie Sun, Ruiqi He et al.
BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence
Jiajie Jin, Yutao Zhu, Yujia Zhou et al.
Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM
Yang Chen, Chong Yang, Tu Hu et al.
Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
Yichi Zhang, Zhuo Chen, Yin Fang et al.
Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection
Hankun Kang, Tieyun Qian
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang et al.
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving
Jiaxin Zhang, Zhong-Zhi Li, Ming-Liang Zhang et al.
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
Jinyuan Li, Han Li, Di Sun et al.
CriticBench: Benchmarking LLMs for Critique-Correct Reasoning
Zicheng Lin, Zhibin Gou, Tian Liang et al.
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
Bosheng Ding, Chengwei Qin, Ruochen Zhao et al.
Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers
Tuo Zhang, Jinyue Yuan, Salman Avestimehr
RankMean: Module-Level Importance Score for Merging Fine-tuned LLM Models
Gabriel Perin, Xuxi Chen, Shusen Liu et al.
Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction
Xin Miao, Yongqi Li, Shen Zhou et al.
The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
Lingfeng Shen, Weiting Tan, Sihao Chen et al.
Efficient Knowledge Infusion via KG-LLM Alignment
Zhouyu Jiang, Ling Zhong, Mengshu Sun et al.
Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism
Jiahao Liu, Qifan Wang, Jingang Wang et al.
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Aohan Zeng, Mingdao Liu, Rui Lu et al.
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction
Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference
Dongjie Yang, Xiaodong Han, Yan Gao et al.
From Role-Play to Drama-Interaction: An LLM Solution
Weiqi Wu, Hongqiu Wu, Lai Jiang et al.