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2311.08993
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When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
15 November 2023
Hao Peng
Xiaozhi Wang
Jianhui Chen
Weikai Li
Y. Qi
Zimu Wang
Zhili Wu
Kaisheng Zeng
Bin Xu
Lei Hou
Juanzi Li
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Papers citing
"When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks"
32 / 32 papers shown
Title
LLMs Get Lost In Multi-Turn Conversation
Philippe Laban
Hiroaki Hayashi
Yingbo Zhou
Jennifer Neville
25
0
0
09 May 2025
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study
Faeze Ghorbanpour
Daryna Dementieva
Alexander M. Fraser
23
0
0
09 May 2025
Scaling sparse feature circuit finding for in-context learning
Dmitrii Kharlapenko
S. Kamath S
Fazl Barez
Arthur Conmy
Neel Nanda
23
0
0
18 Apr 2025
Grounding Agent Reasoning in Image Schemas: A Neurosymbolic Approach to Embodied Cognition
François Olivier
Zied Bouraoui
LM&Ro
36
0
0
31 Mar 2025
Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection
Jianfei He
Lilin Wang
Jiaying Wang
Zhenyu Liu
Hongbin Na
Z. Wang
Wei Wang
Qi Chen
18
2
0
21 Oct 2024
In-Context Learning for Long-Context Sentiment Analysis on Infrastructure Project Opinions
Alireza Shamshiri
Kyeong Rok Ryu
June Young Park
LLMAG
14
1
0
15 Oct 2024
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
Zimu Wang
Lei Xia
Wei Wang
Xinya Du
13
4
0
07 Oct 2024
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
Minsoo Kim
Kyuhong Shim
Jungwook Choi
Simyung Chang
13
5
0
02 Oct 2024
Unsupervised Human Preference Learning
Sumuk Shashidhar
Abhinav Chinta
Vaibhav Sahai
Dilek Hakkani Tur
LRM
25
0
0
30 Sep 2024
MAVEN-Fact: A Large-scale Event Factuality Detection Dataset
Chunyang Li
Hao Peng
Xiaozhi Wang
Y. Qi
Lei Hou
Bin Xu
Juanzi Li
HILM
25
1
0
22 Jul 2024
LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking
Amy Xin
Y. Qi
Zijun Yao
Fangwei Zhu
Kaisheng Zeng
Xu Bin
Lei Hou
Juanzi Li
21
5
0
04 Jul 2024
ADELIE: Aligning Large Language Models on Information Extraction
Y. Qi
Hao Peng
Xiaozhi Wang
Bin Xu
Lei Hou
Juanzi Li
19
7
0
08 May 2024
What Makes Multimodal In-Context Learning Work?
Folco Bertini Baldassini
Mustafa Shukor
Matthieu Cord
Laure Soulier
Benjamin Piwowarski
32
18
0
24 Apr 2024
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph
Xiaochen Kev Gao
Feng Yao
Kewen Zhao
Beilei He
Animesh Kumar
Vish Krishnan
Jingbo Shang
22
0
0
22 Apr 2024
Long-context LLMs Struggle with Long In-context Learning
Tianle Li
Ge Zhang
Quy Duc Do
Xiang Yue
Wenhu Chen
36
152
0
02 Apr 2024
Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation
Hongbin Na
Zimu Wang
M. Maimaiti
Tong Chen
Wei Wang
Tao Shen
Ling Chen
LRM
13
5
0
16 Feb 2024
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
Frank Mtumbuka
Steven Schockaert
15
0
0
18 Dec 2023
Generating Valid and Natural Adversarial Examples with Large Language Models
Zimu Wang
Wei Wang
Qi Chen
Qiufeng Wang
Anh Nguyen
AAML
8
4
0
20 Nov 2023
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation
Xiaozhi Wang
Hao Peng
Yong Guan
Kaisheng Zeng
Jianhui Chen
...
Yankai Lin
Zhiyuan Liu
Ruobing Xie
Jie Zhou
Juanzi Li
8
4
0
15 Nov 2023
Position: AI Evaluation Should Learn from How We Test Humans
Yan Zhuang
Q. Liu
Yuting Ning
Wei Huang
Rui Lv
Zhenya Huang
Guanhao Zhao
Zheng-Wei Zhang
ELM
ALM
62
21
0
18 Jun 2023
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Jian Xie
Kai Zhang
Jiangjie Chen
Renze Lou
Yu-Chuan Su
RALM
198
150
0
22 May 2023
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
Xin Xu
Yuqi Zhu
Xiaohan Wang
Ningyu Zhang
KELM
LRM
43
45
0
02 May 2023
On the Creativity of Large Language Models
Giorgio Franceschelli
Mirco Musolesi
54
48
0
27 Mar 2023
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
216
327
0
23 Aug 2022
DeepStruct: Pretraining of Language Models for Structure Prediction
Chenguang Wang
Xiao Liu
Zui Chen
Haoyun Hong
Jie Tang
Dawn Song
209
66
0
21 May 2022
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Entity-Based Knowledge Conflicts in Question Answering
Shayne Longpre
Kartik Perisetla
Anthony Chen
Nikhil Ramesh
Chris DuBois
Sameer Singh
HILM
233
236
0
10 Sep 2021
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
234
690
0
27 Aug 2021
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
882
0
18 Apr 2021
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin
Miles Brundage
Jack Clark
Deep Ganguli
AILaw
ELM
192
248
0
04 Feb 2021
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
227
1,281
0
18 Mar 2020
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
195
221
0
16 Oct 2019
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