Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Paper
• 2204.04581 • Published
• 1
Question answering
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Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code
Paper • 2303.08033 • Published • 1 -
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
Paper • 2305.14869 • Published • 1 -
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering
Paper • 2305.05936 • Published • 1 -
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
Paper • 2305.11159 • Published • 1 -
AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models
Paper • 2309.06495 • Published • 1 -
Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models
Paper • 2309.08922 • Published • 1 -
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
Paper • 2305.03453 • Published • 1 -
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
Paper • 2307.11768 • Published • 14 -
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models
Paper • 2309.12767 • Published • 1 -
Exploring the Integration Strategies of Retriever and Large Language Models
Paper • 2308.12574 • Published • 1 -
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Paper • 2308.10633 • Published • 1 -
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning
Paper • 2110.12679 • Published • 1 -
ViperGPT: Visual Inference via Python Execution for Reasoning
Paper • 2303.08128 • Published • 2 -
Visual Programming: Compositional visual reasoning without training
Paper • 2211.11559 • Published • 1 -
Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems
Paper • 2210.15037 • Published • 1 -
Diversifying Joint Vision-Language Tokenization Learning
Paper • 2306.03421 • Published • 2 -
Modular Visual Question Answering via Code Generation
Paper • 2306.05392 • Published • 2 -
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
Paper • 2305.07004 • Published • 1 -
Build a Robust QA System with Transformer-based Mixture of Experts
Paper • 2204.09598 • Published • 1 -
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
Paper • 2305.15387 • Published • 2 -
Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves
Paper • 2311.04205 • Published • 5 -
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering
Paper • 2304.13649 • Published • 1 -
Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family
Paper • 2303.07992 • Published • 1 -
Block-Skim: Efficient Question Answering for Transformer
Paper • 2112.08560 • Published • 1 -
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust
Paper • 2305.07230 • Published • 2 -
Adapting Pre-trained Generative Models for Extractive Question Answering
Paper • 2311.02961 • Published • 1 -
Axiomatic Preference Modeling for Longform Question Answering
Paper • 2312.02206 • Published • 10 -
ChatQA: Building GPT-4 Level Conversational QA Models
Paper • 2401.10225 • Published • 36 -
Answering Unseen Questions With Smaller Language Models Using Rationale Generation and Dense Retrieval
Paper • 2308.04711 • Published • 1 -
Prompting-based Synthetic Data Generation for Few-Shot Question Answering
Paper • 2405.09335 • Published