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Showing 51–100 of 124 papers

TitleStatusHype
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAGCode0
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingCode0
A Discrete Hard EM Approach for Weakly Supervised Question AnsweringCode0
Adversarial Retriever-Ranker for dense text retrievalCode0
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-JudgesCode0
What's in a Name? Answer Equivalence For Open-Domain Question AnsweringCode0
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human FeedbackCode0
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic DataCode0
Entities as Experts: Sparse Memory Access with Entity SupervisionCode0
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
UnitedQA: A Hybrid Approach for Open Domain Question Answering—0
Vision-centric Token Compression in Large Language Model—0
When to Read Documents or QA History: On Unified and Selective Open-domain QA—0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models—0
You Only Need One Model for Open-domain Question Answering—0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
A Copy-Augmented Generative Model for Open-Domain Question Answering—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
A Deep Cascade Model for Multi-Document Reading Comprehension—0
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension—0
ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval—0
Attendre: Wait To Attend By Retrieval With Evicted Queries in Memory-Based Transformers for Long Context Processing—0
Attention-guided Generative Models for Extractive Question Answering—0
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation—0
Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?—0
Challenges in Generalization in Open Domain Question Answering—0
CLAM: Selective Clarification for Ambiguous Questions with Generative Language Models—0
Contextualized Representations Using Textual Encyclopedic Knowledge—0
Cost-Saving LLM Cascades with Early Abstention—0
Deep Understanding based Multi-Document Machine Reading Comprehension—0
Dense Sparse Retrieval: Using Sparse Language Models for Inference Efficient Dense Retrieval—0
DYNAMAX: Dynamic computing for Transformers and Mamba based architectures—0
Efficient Transformer Knowledge Distillation: A Performance Review—0
Evaluating Neural Model Robustness for Machine Comprehension—0
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering—0
Fine-Grained Self-Endorsement Improves Factuality and Reasoning—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval—0
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation—0
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation—0
Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation—0
Improving Unsupervised Question Answering via Summarization-Informed Question Generation—0
Integrated Triaging for Fast Reading Comprehension—0
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation—0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
KgPLM: Knowledge-guided Language Model Pre-training via Generative and Discriminative Learning—0
KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering—0
Layer Importance and Hallucination Analysis in Large Language Models via Enhanced Activation Variance-Sparsity—0
Machine Reading Comprehension with Enhanced Linguistic Verifiers—0
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