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Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators

Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering

EvoMAS - Evolutionary Generation of Multi-Agent Systems

Enhancing contextual understanding in large language models through contrastive decoding

SCCL: Supporting Clustering with Contrastive Learning

TRIVIA+ Dataset

CrossCLR - ICCV 2021

Bias in Open-ended Language Generation Dataset (BOLD)

ReCode: Robustness Evaluation of Code Generation Models

Identifying Hallucinations in LLMs

Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility

AnoLLM: Large Language Models for Tabular Anomaly Detection (ICLR 2025)

Icr Kv Caching Long Context Llms

CSR-Bench Repository

Spectro-Riemannian Graph Neural Networks

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

Data Augmentation using Pre-trained Transformer Models

TANL: Structured Prediction as Translation between Augmented Natural Languages

Long Short-Term Transformer for Online Action Detection

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

AuctionGym: Simulating Online Advertising Auctions

Omni-DETR: Omni-Supervised Object Detection with Transformers

LUME: LLM Unlearning with Multitask Evaluations

TubeR: Tubelet Transformer for Video Action Detection

EMAN: Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation

Spherical Diffusion Policy

(ICLR 2024 Oral) Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

SafeSearch: Do Not Trade Safety for Utility in LLM Search Agents

Chronos: Pretrained Models for Time Series Forecasting

AdaRec: Adaptive Generative Recommendations with Large Language Models

When LLMs get significantly worse: A statistical approach to detect model degradations

Graph Neural Prompting with Large Language Models

RAGChecker: A Fine-grained Framework For Diagnosing RAG

Auto-CoT: Automatic Chain of Thought Prompting in Large Language Models (ICLR 2023)

TSDiff: An Unconditional Diffusion Model for Time Series

PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants

Training LLMs with MXFP4

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation

RefChecker for Fine-grained Hallucination Detection

Carbon assessment with machine learning

LLM-Based Critics for Evaluating Repo-Level Code Changes

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