Papers
Learning, Forgetting, Remembering: Insights From Tracking LLM Memorization During Training
Danny D. Leybzon, Corentin Kervadec
LLM Internal States Reveal Hallucination Risk Faced With a Query
Ziwei Ji, Delong Chen, Etsuko Ishii et al.
Attend First, Consolidate Later: On the Importance of Attention in Different LLM Layers
Amit Ben Artzy, Roy Schwartz
Self-Assessment Tests are Unreliable Measures of LLM Personality
Akshat Gupta, Xiaoyang Song, Gopala Anumanchipalli
Do Metadata and Appearance of the Retrieved Webpages Affect LLM’s Reasoning in Retrieval-Augmented Generation?
Cheng-Han Chiang, Hung-yi Lee
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning
Adib Hasan, Ileana Rugina, Alex Wang
On Functional Competence of LLMs for Linguistic Disambiguation
Raihan Kibria, Sheikh Intiser Uddin Dipta, Muhammad Abdullah Adnan
Translating Across Cultures: LLMs for Intralingual Cultural Adaptation
Pushpdeep Singh, Mayur Patidar, Lovekesh Vig
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
Zhiwei Liu, Weiran Yao, Jianguo Zhang et al.
Navigate Complex Physical Worlds via Geometrically Constrained LLM
Yongqiang Huang, Wentao Ye, Liyao Li et al.
Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios
Sabit Hassan, Anthony Sicilia, Malihe Alikhani
Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders
Xiaofeng Zhu, Jaya Krishna Mandivarapu
Adapting LLM Predictions in In-Context Learning with Data Priors
Javier Chiyah-Garcia, Prasoon Goyal, Michael Johnston et al.
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
Ronit Singal, Pransh Patwa, Parth Patwa et al.
Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?
Laura Majer, Jan Šnajder
From Language to Pixels: Task Recognition and Task Learning in LLMs
Janek Falkenstein, Carolin M. Schuster, Alexander H. Berger et al.
Automated test generation to evaluate tool-augmented LLMs as conversational AI agents
Samuel Arcadinho, David Oliveira Aparicio, Mariana S. C. Almeida
Is artificial intelligence still intelligence? LLMs generalize to novel adjective-noun pairs, but don’t mimic the full human distribution
Hayley Ross, Kathryn Davidson, Najoung Kim
What an Elegant Bridge: Multilingual LLMs are Biased Similarly in Different Languages
Viktor Mihaylov, Aleksandar Shtedritski
Leveraging LLMs for Translating and Classifying Mental Health Data
Konstantinos Skianis, A. Seza Doğruöz, John Pavlopoulos
Detecting and Translating Language Ambiguity with Multilingual LLMs
Behrang Mehrparvar, Sandro Pezzelle
LLMs to the Rescue: Explaining DSA Statements of Reason with Platform’s Terms of Services
Marco Aspromonte, Andrea Ferraris, Federico Galli et al.
Enhancing Legal Violation Identification with LLMs and Deep Learning Techniques: Achievements in the LegalLens 2024 Competition
Nguyen Tan Minh, Duy Ngoc Mai, Le Xuan Bach et al.
Semantists at LegalLens-2024: Data-efficient Training of LLM’s for Legal Violation Identification
Kanagasabai Rajaraman, Hariram Veeramani
Investigating Expert-in-the-Loop LLM Discourse Patterns for Ancient Intertextual Analysis
Ray Umphrey, Jesse Roberts, Lindsey Roberts