:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Eicher, J. E., Irgolič, R. F.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence I.2.0
Online Access:	https://arxiv.org/abs/2402.01740
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling Emotions and Ethics with Large Language Models
by: Chang, Edward Y.
Published: (2024)

Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
by: Venkatasubramanian, Venkat, et al.
Published: (2024)

OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
by: Sharma, Kartik, et al.
Published: (2024)

Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
by: Ren, Wanying, et al.
Published: (2026)

The Democratic Paradox in Large Language Models' Underestimation of Press Freedom
by: Loaiza, I., et al.
Published: (2025)

In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models
by: Han, Pengrui, et al.
Published: (2024)

Training Language Models to Win Debates with Self-Play Improves Judge Accuracy
by: Arnesen, Samuel, et al.
Published: (2024)

BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models
by: Abhishek, Alok, et al.
Published: (2025)

Evaluating Large Language Models for Causal Modeling
by: Razouk, Houssam, et al.
Published: (2024)

Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models
by: Muñoz, J. Pablo, et al.
Published: (2025)

Fanar: An Arabic-Centric Multimodal Generative AI Platform
by: Fanar Team, et al.
Published: (2025)

Mining Large Language Models for Low-Resource Language Data: Comparing Elicitation Strategies for Hausa and Fongbe
by: Adjovi, Mahounan Pericles, et al.
Published: (2026)

Rewarding Creativity: A Human-Aligned Generative Reward Model for Reinforcement Learning in Storytelling
by: Li, Zhaoyan, et al.
Published: (2026)

Graph Language Models
by: Plenz, Moritz, et al.
Published: (2024)

Large Language Models Report Subjective Experience Under Self-Referential Processing
by: Berg, Cameron, et al.
Published: (2025)

BabyReasoningBench: Generating Developmentally-Inspired Reasoning Tasks for Evaluating Baby Language Models
by: Dhole, Kaustubh D.
Published: (2026)

CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence?
by: Ferrández, Antonio, et al.
Published: (2024)

Box Maze: A Process-Control Architecture for Reliable LLM Reasoning
by: Qiang, Zou
Published: (2026)

Beyond Direct Generation: A Decomposed Approach to Well-Crafted Screenwriting with LLMs
by: Lei, Hang, et al.
Published: (2025)

ConCISE: A Reference-Free Conciseness Evaluation Metric for LLM-Generated Answers
by: Ghafari, Seyed Mohssen, et al.
Published: (2025)

Cognitively Inspired Components for Social Conversational Agents
by: Clay, Alex, et al.
Published: (2023)

QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
by: Khanna, Danush, et al.
Published: (2025)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
by: Blair-Stanek, Andrew, et al.
Published: (2023)

Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models
by: Liu, Yiheng, et al.
Published: (2025)

Compressible Softmax-Attended Language under Incompressible Attention
by: Lee, Wonsuk
Published: (2026)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
by: Baxi, Rahul
Published: (2025)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam
by: Santos, Matheus L. O., et al.
Published: (2023)

RTTC: Reward-Guided Collaborative Test-Time Compute
by: Muñoz, J. Pablo, et al.
Published: (2025)

SHARP: Social Harm Analysis via Risk Profiles for Measuring Inequities in Large Language Models
by: Abhishek, Alok, et al.
Published: (2026)

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
by: Vegner, Ivan, et al.
Published: (2025)

Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
by: Xing, Eric, et al.
Published: (2024)

ACCORD: Closing the Commonsense Measurability Gap
by: Roewer-Després, François, et al.
Published: (2024)

Enhancing Transformer RNNs with Multiple Temporal Perspectives
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
by: Goldstein, Daniel, et al.
Published: (2026)

Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
by: Plevris, Vagelis, et al.
Published: (2023)

Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
by: Buchner, Valentin Leonhard, et al.
Published: (2023)

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation
by: Saito, Kei
Published: (2025)