Papers
Quantifying Cognitive Bias Induction in LLM-Generated Content
Abeer Alessa, Param Somane, Akshaya Thenkarai Lakshminarasimhan et al.
ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting
Abhijit Mishra, Mingda Li, Hsiang Fu et al.
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning
Nhi Hoai Doan, Tatsuya Hiraoka, Kentaro Inui
Adaptive Collaborative Labeling with MLLMs for Low-Resource Multimodal Emotion Recognition
Wenwen Zhuang, Lu Xiang, Shubei Tang et al.
ClinStructor: AI-Powered Structuring of Unstructured Clinical Texts
Karthikeyan K, Raghuveer Thirukovalluru, David Carlson
No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning.
Abhishek Rajgaria, Kushagra Dixit, Mayank Vyas et al.
ControlMed: Adding Reasoning Control to Medical Language Model
Sung-Min Lee, Siyoon Lee, Juyeon Kim et al.
On Memorization of Large Language Models in Logical Reasoning
Chulin Xie, Yangsibo Huang, Chiyuan Zhang et al.
QA-Noun: Representing Nominal Semantics via Natural Language Question-Answer Pairs
Maria Tseytlin, Paul Roit, Omri Abend et al.
Who Remembers What? Tracing Information Fidelity in Human-AI Chains
Suvojit Acharjee, Utathya Aich, Diptarka Mandal et al.
Revisiting Word Embeddings in the LLM Era
Yash Mahajan, Matthew Freestone, Naman Bansal et al.
CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications
Raviraj Bhuminand Joshi, Rakesh Paul, Kanishk Singla et al.
Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts
Preethi Seshadri, Hongyu Chen, Sameer Singh et al.
A Diagnostic Framework for Auditing Reference-Free Vision-Language Metrics
Angeline Charles, Srikant Panda, Amit Agarwal et al.
HARBOR: Exploring Persona Dynamics in Multi-Agent Competition
Kenan Jiang, Li Xiong, Fei Liu
Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization
Masahiro Kaneko, Zeerak Talat, Timothy Baldwin
From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning
Chalamalasetti Kranti, Sherzod Hakimov, David Schlangen
Differential Mamba
Nadav Schneider, Itamar Zimerman, Eliya Nachmani
Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
Chunhua Liu, Hong Yi Lin, Patanamon Thongtanunam
Not Just a Piece of Cake: Cross-Lingual Fine-Tuning for Idiom Identification
Ofri Hefetz, Kai Golan Hashiloni, Alon Mannor et al.
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
Yohei Kobashi, Fumiya Uchiyama, Takeshi Kojima et al.
IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization
Ahmed Frikha, Nassim Walha, Krishna Kanth Nakka et al.
IndicClaimBuster: A Multilingual Claim Verification Dataset
Pritam Pal, Shyamal Krishna Jana, Dipankar Das
Pragmatic Theories Enhance Understanding of Implied Meanings in LLMs
Takuma Sato, Seiya Kawano, Koichiro Yoshino
ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages
Neha Joshi, Pamir Gogoi, AasimBaig Mirza et al.