Title
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Vishnu Sarukkai Zhiqiang Xie Kayvon Fatahalian LLMAG 68 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
Large (Vision) Language Models are Unsupervised In-Context Learners Artyom Gadetsky Andrei Atanov Yulun Jiang Zhitong Gao Ghazal Hosseini Mighan Amir Zamir Maria Brbić VLM MLLM LRM 64 0 0 03 Apr 2025
Factored Agents: Decoupling In-Context Learning and Memorization for Robust Tool Use Nicholas Roth Christopher Hidey Lucas Spangher William Arnold Chang Ye Nick Masiewicki Jinoo Baek Peter Grabowski Eugene Ie LLMAG 50 0 0 29 Mar 2025
Vector-ICL: In-context Learning with Continuous Vector Representations Yufan Zhuang Chandan Singh Liyuan Liu Jingbo Shang Jianfeng Gao 52 3 0 21 Feb 2025
MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs Andreas Opedal Haruki Shirakami Bernhard Schölkopf Abulhair Saparov Mrinmaya Sachan LRM 54 1 0 17 Feb 2025
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference Roman Levin Valeriia Cherepanova Abhimanyu Hans Avi Schwarzschild Tom Goldstein 61 1 0 14 Feb 2025
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? Yutong Yin Zhaoran Wang LRM ReLM 47 0 0 27 Jan 2025
Episodic Memories Generation and Evaluation Benchmark for Large Language Models Alexis Huet Zied Ben-Houidi Dario Rossi LLMAG 52 0 0 21 Jan 2025
Better Prompt Compression Without Multi-Layer Perceptrons Edouardo Honig Andrew Lizarraga Zijun Zhang Ying Nian Wu MQ 57 0 0 12 Jan 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers Jiajun Song Zhuoyan Xu Yiqiao Zhong 75 4 0 31 Dec 2024
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge Dawei Li Bohan Jiang Liangjie Huang Alimohammad Beigi Chengshuai Zhao ... Canyu Chen Tianhao Wu Kai Shu Lu Cheng Huan Liu ELM AILaw 106 61 0 25 Nov 2024
Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks? Jonathan Roberts Kai Han Samuel Albanie LLMAG 80 0 0 07 Nov 2024
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs Ilya Zisman Alexander Nikulin Andrei Polubarov Nikita Lyubaykin Vladislav Kurenkov Andrei Polubarov Igor Kiselev Vladislav Kurenkov OffRL 44 1 0 04 Nov 2024
SQL Injection Jailbreak: A Structural Disaster of Large Language Models Jiawei Zhao Kejiang Chen W. Zhang Nenghai Yu AAML 38 0 0 03 Nov 2024
What is Wrong with Perplexity for Long-context Language Modeling? Lizhe Fang Yifei Wang Zhaoyang Liu Chenheng Zhang Stefanie Jegelka Jinyang Gao Bolin Ding Yisen Wang 55 4 0 31 Oct 2024
Toward Understanding In-context vs. In-weight Learning Bryan Chan Xinyi Chen András Gyorgy Dale Schuurmans 65 3 0 30 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability Futing Wang Jianhao Yan Yue Zhang Tao Lin 35 0 0 12 Oct 2024
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information Yongheng Zhang Qiguang Chen Jingxuan Zhou Peng Wang Jiasheng Si Jin Wang Wenpeng Lu Libo Qin LRM 44 3 0 06 Oct 2024
In-context Learning in Presence of Spurious Correlations Hrayr Harutyunyan R. Darbinyan Samvel Karapetyan Hrant Khachatrian LRM 30 1 0 04 Oct 2024
MILE: A Mutation Testing Framework of In-Context Learning Systems Zeming Wei Yihao Zhang Meng Sun 35 0 0 07 Sep 2024
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models Jonathan Bourne 49 4 0 30 Aug 2024
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack Yuri Kuratov Aydar Bulatov Petr Anokhin Ivan Rodkin Dmitry Sorokin Artyom Sorokin Mikhail Burtsev RALM ALM LRM ReLM ELM 42 57 0 14 Jun 2024
Is In-Context Learning Sufficient for Instruction Following in LLMs? Hao Zhao Maksym Andriushchenko Francesco Croce Nicolas Flammarion 59 12 0 30 May 2024
Layer-Condensed KV Cache for Efficient Inference of Large Language Models Haoyi Wu Kewei Tu MQ 41 17 0 17 May 2024
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models Avi Singh John D. Co-Reyes Rishabh Agarwal Ankesh Anand Piyush Patil ... Yamini Bansal Ethan Dyer Behnam Neyshabur Jascha Narain Sohl-Dickstein Noah Fiedel ALM LRM ReLM SyDa 147 143 0 11 Dec 2023
Exploring The Landscape of Distributional Robustness for Question Answering Models Anas Awadalla Mitchell Wortsman Gabriel Ilharco Sewon Min Ian H. Magnusson Hannaneh Hajishirzi Ludwig Schmidt ELM OOD KELM 68 19 0 22 Oct 2022
Transformers generalize differently from information stored in context vs in weights Stephanie C. Y. Chan Ishita Dasgupta Junkyung Kim D. Kumaran Andrew Kyle Lampinen Felix Hill 98 45 0 11 Oct 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020