Co-occurring keywords · papers mentioning both
Papers
Where is the answer? An empirical study of positional bias for parametric knowledge extraction in language model
NAACL 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
EMNLP 2025
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
CVPR 2025
Analyzing Context Contributions in LLM-based Machine Translation
EMNLP 2024
An Empirical Analysis on Large Language Models in Debate Evaluation
ACL 2024
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval
ACL 2024
Exploiting Positional Bias for Query-Agnostic Generative Content in Search
ACL 2024
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models
NAACL 2024
HANS, are you clever? Clever Hans Effect Analysis of Neural Systems
NAACL 2024
Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell
EMNLP 2024
Large Language Models are not Fair Evaluators
ACL 2024
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
NAACL 2024
LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models
EACL 2024
Measuring the Inconsistency of Large Language Models in Preferential Ranking
ACL 2024
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
EMNLP 2024
ULTRA: Unleash LLMs’ Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement
ACL 2024
How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks
EMNLP 2021