Buchumschlag

Investigating Context Effects in Similarity Judgements in Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Uprety, Sagar, Jaiswal, Amit Kumar, Liu, Haiming, Song, Dawei
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Multimodal RAG Enhanced Visual Description
von: Jaiswal, Amit Kumar, et al.
Veröffentlicht: (2025)

Towards a Theoretical Understanding of Two-Stage Recommender Systems
von: Jaiswal, Amit Kumar
Veröffentlicht: (2024)

MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination
von: Jia, Ao, et al.
Veröffentlicht: (2025)

Applicability of Large Language Models and Generative Models for Legal Case Judgement Summarization
von: Deroy, Aniket, et al.
Veröffentlicht: (2024)

Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models
von: Zhang, Chen, et al.
Veröffentlicht: (2024)

Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators
von: Liu, Yinhong, et al.
Veröffentlicht: (2024)

Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
von: Nigam, Shubham Kumar, et al.
Veröffentlicht: (2024)

Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models
von: de Faria, Joana Ribeiro, et al.
Veröffentlicht: (2024)

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
von: Yang, Wanli, et al.
Veröffentlicht: (2024)

Exploring Large Language Models for Feature Selection: A Data-centric Perspective
von: Li, Dawei, et al.
Veröffentlicht: (2024)

Constrained Network Slice Assignment via Large Language Models
von: Sudhakara, Sagar, et al.
Veröffentlicht: (2025)

DLLMQuant: Quantizing Diffusion-based Large Language Models
von: Xu, Chen, et al.
Veröffentlicht: (2025)

Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models
von: Song, Wei, et al.
Veröffentlicht: (2025)

Improving Large Language Model Planning with Action Sequence Similarity
von: Zhao, Xinran, et al.
Veröffentlicht: (2025)

Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark
von: Choi, Minje, et al.
Veröffentlicht: (2023)

Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style
von: Li, Yuepei, et al.
Veröffentlicht: (2024)

Contextualization Distillation from Large Language Model for Knowledge Graph Completion
von: Li, Dawei, et al.
Veröffentlicht: (2024)

Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
von: Huang, Liangjie, et al.
Veröffentlicht: (2025)

Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities
von: Datta, Shounak, et al.
Veröffentlicht: (2025)

Quantifying Laziness, Decoding Suboptimality, and Context Degradation in Large Language Models
von: Ma, Yiqing, et al.
Veröffentlicht: (2025)

FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving
von: Lin, Xiaohan, et al.
Veröffentlicht: (2024)

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges
von: Niu, Qian, et al.
Veröffentlicht: (2024)

Large Language Models are In-Context Molecule Learners
von: Li, Jiatong, et al.
Veröffentlicht: (2024)

Learning to Select In-Context Demonstration Preferred by Large Language Model
von: Zhang, Zheng, et al.
Veröffentlicht: (2025)

A Cross-Language Investigation into Jailbreak Attacks in Large Language Models
von: Li, Jie, et al.
Veröffentlicht: (2024)

Invasive Context Engineering to Control Large Language Models
von: Rivasseau, Thomas
Veröffentlicht: (2025)

Molecular Graph Representation Learning via Structural Similarity Information
von: Yao, Chengyu, et al.
Veröffentlicht: (2024)

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models
von: Zheng, Zaiyi, et al.
Veröffentlicht: (2025)

A Survey of Large Language Models for Graphs
von: Ren, Xubin, et al.
Veröffentlicht: (2024)

Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning
von: Yu, Song, et al.
Veröffentlicht: (2025)

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents
von: Jaiswal, Raj, et al.
Veröffentlicht: (2024)

Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs
von: Kumar, Divyanshu, et al.
Veröffentlicht: (2024)

Zero-Direction Probing: A Linear-Algebraic Framework for Deep Analysis of Large-Language-Model Drift
von: Pandey, Amit
Veröffentlicht: (2025)

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models
von: Min, Zeping, et al.
Veröffentlicht: (2025)

PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models
von: Shi, Wenlong, et al.
Veröffentlicht: (2026)

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models
von: Tayebati, Sina, et al.
Veröffentlicht: (2025)

Large Language Models' Reasoning Stalls: An Investigation into the Capabilities of Frontier Models
von: McGinness, Lachlan, et al.
Veröffentlicht: (2025)

The Real, the Better: Aligning Large Language Models with Online Human Behaviors
von: Jiang, Guanying, et al.
Veröffentlicht: (2024)

In-Context Reinforcement Learning for Tool Use in Large Language Models
von: Ye, Yaoqi, et al.
Veröffentlicht: (2026)

LLaGA: Large Language and Graph Assistant
von: Chen, Runjin, et al.
Veröffentlicht: (2024)