Title
Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning Jingcheng Niu Subhabrata Dutta Ahmed Elshabrawy Harish Tayyar Madabushi Iryna Gurevych 19 0 0 16 May 2025
Incomplete In-context Learning Wenqiang Wang Yangshijie Zhang 36 0 0 12 May 2025
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Vishnu Sarukkai Zhiqiang Xie Kayvon Fatahalian LLMAG 75 0 0 01 May 2025
On the generalization of language models from in-context learning and finetuning: a controlled study Andrew Kyle Lampinen Arslan Chaudhry Stephanie Chan Cody Wild Diane Wan Alex Ku Jorg Bornschein Razvan Pascanu Murray Shanahan James L. McClelland 46 0 0 01 May 2025
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning J. Wang Tianci Luo Yaohua Zha Yan Feng Ruisheng Luo Bin Chen Tao Dai Long Chen Yaowei Wang Shu-Tao Xia VLM 60 0 0 30 Apr 2025
In-Context Learning can distort the relationship between sequence likelihoods and biological fitness Pranav Kantroo Günter P. Wagner Benjamin B. Machta 45 0 0 23 Apr 2025
Improving In-Context Learning with Reasoning Distillation Nafis Sadeq Xin Xu Zhouhang Xie Julian McAuley Byungkyu Kang Prarit Lamba Xiang Gao RALM ReLM LRM 38 0 0 14 Apr 2025
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce Jingying Zeng Zhenwei Dai Hui Liu Samarth Varshney Zhiji Liu Chen Luo Zhen Li Qi He X. Tang 43 1 0 14 Mar 2025
Learning to Search Effective Example Sequences for In-Context Learning Xiang Gao Ankita Sinha Kamalika Das 70 1 0 11 Mar 2025
Exploiting Edited Large Language Models as General Scientific Optimizers Qitan Lv T. Liu Haoyu Wang 41 0 0 08 Mar 2025
Strategy Coopetition Explains the Emergence and Transience of In-Context Learning Aaditya K. Singh Ted Moskovitz Sara Dragutinovic Felix Hill Stephanie C. Y. Chan Andrew Saxe 145 0 0 07 Mar 2025
Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware Demonstrations Yanshu Li 44 0 0 05 Mar 2025
Towards An Efficient LLM Training Paradigm for CTR Prediction Allen Lin Renqin Cai Yun He Hanchao Yu Jing Qian Rui Li Qifan Wang James Caverlee 41 0 0 02 Mar 2025
Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs Jungsoo Park Junmo Kang Gabriel Stanovsky Alan Ritter 57 0 0 26 Feb 2025
Vector-ICL: In-context Learning with Continuous Vector Representations Yufan Zhuang Chandan Singh Liyuan Liu Jingbo Shang Jianfeng Gao 54 3 0 21 Feb 2025
Learning Task Representations from In-Context Learning Baturay Saglam Zhuoran Yang Dionysis Kalogerias Amin Karbasi 60 0 0 08 Feb 2025
Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture Sachin Kumar Rishi Gottimukkala Supriya Devidutta K. Spindler RALM KELM 3DV 52 0 0 07 Feb 2025
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation Songlin Xu Hao-Ning Wen Hongyi Pan Dallas Dominguez Dongyin Hu Xinyu Zhang 70 1 0 04 Feb 2025
The in-context inductive biases of vision-language models differ across modalities Kelsey Allen Ishita Dasgupta Eliza Kosoy Andrew Kyle Lampinen 70 0 0 03 Feb 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers Xinyu Tang Xiaolei Wang Wayne Xin Zhao Siyuan Lu Yaliang Li Ji-Rong Wen LRM 56 13 0 28 Jan 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Yutong Yin Zhaoran Wang LRM ReLM 143 0 0 27 Jan 2025
Iterative Tree Analysis for Medical Critics Zenan Huang Mingwei Li Zheng Zhou Youxin Jiang 112 0 0 18 Jan 2025
Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks Hamed Firooz Maziar Sanjabi Wenlong Jiang Xiaoling Zhai 68 3 0 03 Jan 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang Cheng Chen Anirudh Dagar Wenming Ye LRM 68 38 0 31 Dec 2024
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection Sepideh Mamooler Syrielle Montariol Alexander Mathis Antoine Bosselut 90 1 0 16 Dec 2024
Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT Siqi Wang Chao Liang Yunfan Gao Y. Liu Jing Li Haoyu Wang AI4CE 72 2 0 24 Nov 2024
Teaching VLMs to Localize Specific Objects from In-context Examples Sivan Doveh Nimrod Shabtay Wei Lin Eli Schwartz Hilde Kuehne ... Leonid Karlinsky James Glass Assaf Arbelle S. Ullman Muhammad Jehanzeb Mirza VLM 103 1 0 20 Nov 2024
TrojanRobot: Physical-World Backdoor Attacks Against VLM-based Robotic Manipulation X. U. Wang Hewen Pan Hangtao Zhang Minghui Li Shengshan Hu ... Peijin Guo Yichen Wang Wei Wan Aishan Liu L. Zhang AAML 85 4 0 18 Nov 2024
Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering Zeping Yu Sophia Ananiadou 136 0 0 17 Nov 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context Zihao Li Yuan Cao Cheng Gao Yihan He Han Liu Jason M. Klusowski Jianqing Fan Mengdi Wang MLT 55 6 0 16 Nov 2024
Can Custom Models Learn In-Context? An Exploration of Hybrid Architecture Performance on In-Context Learning Tasks Ryan Campbell Nelson Lojo Kesava Viswanadha Christoffer Grondal Tryggestad Derrick Han Sun Sriteja Vijapurapu August Rolfsen Anant Sahai 31 0 0 06 Nov 2024
TI-PREGO: Chain of Thought and In-Context Learning for Online Mistake Detection in PRocedural EGOcentric Videos Leonardo Plini Luca Scofano Edoardo De Matteis Guido Maria DÁmely di Melendugno Alessandro Flaborea Andrea Sanchietti G. Farinella Fabio Galasso Antonino Furnari EgoV LRM 45 1 0 04 Nov 2024
A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification Sorouralsadat Fatemi Yuheng Hu Maryam Mousavi 32 1 0 04 Nov 2024
Smaller Large Language Models Can Do Moral Self-Correction Guangliang Liu Zhiyu Xue Rongrong Wang K. Johnson Kristen Marie Johnson LRM 32 0 0 30 Oct 2024
Toward Understanding In-context vs. In-weight Learning Bryan Chan Xinyi Chen András Gyorgy Dale Schuurmans 75 4 0 30 Oct 2024
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs Houman Mehrafarin Arash Eshghi Ioannis Konstas LRM 31 0 0 26 Oct 2024
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons Weiqin Chen Santiago Paternain OffRL 37 0 0 25 Oct 2024
On Explaining with Attention Matrices Omar Naim Nicholas Asher 29 1 0 24 Oct 2024
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation Shota Onohara Atsuyuki Miyai Yuki Imajuku Kazuki Egashira Jeonghun Baek Xiang Yue Graham Neubig Kiyoharu Aizawa OSLM 115 1 0 22 Oct 2024
Large Language Models Know What To Say But Not When To Speak Muhammad Umair Vasanth Sarathy JP de Ruiter 24 2 0 21 Oct 2024
LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems Nan Xu Xuezhe Ma LRM 59 3 0 18 Oct 2024
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification Zeren Shui Petros Karypis Daniel S. Karls Mingjian Wen Saurav Manchanda E. Tadmor George Karypis 35 0 0 17 Oct 2024
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors Georgios Chochlakis Alexandros Potamianos Kristina Lerman Shrikanth Narayanan 32 0 0 17 Oct 2024
State-space models can learn in-context by gradient descent Neeraj Mohan Sushma Yudou Tian Harshvardhan Mestha Nicolo Colombo David Kappel Anand Subramoney 41 3 0 15 Oct 2024
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies Jiajie Yu Yuhong Wang Wei Ma OffRL 34 1 0 14 Oct 2024
Inference and Verbalization Functions During In-Context Learning Junyi Tao Xiaoyin Chen Nelson F. Liu LRM ReLM 26 0 0 12 Oct 2024
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting Xukai Liu Ye Liu Kai Zhang Kehang Wang Qi Liu Enhong Chen 42 2 0 10 Oct 2024
DemoShapley: Valuation of Demonstrations for In-Context Learning Shan Xie Man Luo Chadly Daniel Stern Jundong Li Lu Cheng 34 1 0 10 Oct 2024
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition Zheyang Xiong Ziyang Cai John Cooper Albert Ge Vasilis Papageorgiou ... Saurabh Agarwal Grigorios G Chrysos Samet Oymak Kangwook Lee Dimitris Papailiopoulos LRM 35 1 0 08 Oct 2024
Task Diversity Shortens the ICL Plateau Jaeyeon Kim Sehyun Kwon Joo Young Choi Jongho Park Jaewoong Cho Jason D. Lee Ernest K. Ryu MoMe 31 2 0 07 Oct 2024