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Common Sense Reasoning

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하위 태스크: 17
평가표: 24
보존된 평가 기록: 397

Common sense reasoning tasks are intended to require the model to go beyond pattern recognition. Instead, the model should use "common sense" or world knowledge to make inferences.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/studio-ousia/luke

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LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

https://github.com/studyzx/gesturegpt_iss

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GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents

https://github.com/swarnahub/explanationhardness

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Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations

https://github.com/tensorflow/lingvo

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N-Grammer: Augmenting Transformers with latent n-grams

https://github.com/tensorflow/mesh

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ST-MoE: Designing Stable and Transferable Sparse Expert Models

https://github.com/terne/being_right_for_whose_right_reasons

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Being Right for Whose Right Reasons?

https://github.com/thunlp/Character-enhanced-Sememe-Prediction

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Incorporating Chinese Characters of Words for Lexical Sememe Prediction

https://github.com/tianhuizhang/concept_ordering

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Learning to Predict Concept Ordering for Common Sense Generation

https://github.com/tjunlp-lab/commonmt

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The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation

https://github.com/tuhinjubcse/SimileGeneration-EMNLP2020

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Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation

https://github.com/turkunlp/finerweb-10bt

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FinerWeb-10BT: Refining Web Data with LLM-Based Line-Level Filtering

https://github.com/umass-foundation-model/hazard

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HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments

https://github.com/usc-gvl/agent-driver

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A Language Agent for Autonomous Driving

https://github.com/vasr-dataset/vasr

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VASR: Visual Analogies of Situation Recognition

https://github.com/vbursztyn/critique-to-preference-emnlp2021

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"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems

https://github.com/veronica320/recursive-nps

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Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases

https://github.com/vid-koci/bert-commonsense

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A Surprisingly Robust Trick for Winograd Schema Challenge

https://github.com/vllm-project/vllm

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AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

https://github.com/vnnm404/SaGE

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SaGE: Evaluating Moral Consistency in Large Language Models

https://github.com/wangcunxiang/Sen-Making-and-Explanation

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Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation

https://github.com/wangpf3/imagine-and-verbalize

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Contextualized Scene Imagination for Generative Commonsense Reasoning

https://github.com/winogavil/winogavil-experiments

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WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models

https://github.com/wluper/retrograph

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Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers

https://github.com/wtma/PR-Embedding

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Conversational Word Embedding for Retrieval-Based Dialog System

https://github.com/wuhy68/parameter-efficient-moe

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Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks

https://github.com/wutaiqiang/moslora

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Mixture-of-Subspaces in Low-Rank Adaptation

https://github.com/xiaoxinhe/g-retriever

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G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

https://github.com/xiaoyu-sz/llmasevaluator

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Large Language Models as Evaluators for Recommendation Explanations

https://github.com/xpixelgroup/rethinkvsralignment

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Rethinking Alignment in Video Super-Resolution Transformers

https://github.com/xueshengke/2D-PUPO

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1D Probabilistic Undersampling Pattern Optimization for MR Image Reconstruction

https://github.com/yangling0818/buffer-of-thought-llm

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Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

https://github.com/yangyiben/G-DAUG-c-Generative-Data-Augmentation-for-Commonsense-Reasoning

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Generative Data Augmentation for Commonsense Reasoning

https://github.com/yangzhch6/alignedcot

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AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations

https://github.com/yanx27/clevr3d

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Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation

https://github.com/yaochengtang/3d-visual-illusion-depth-estimation

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3D Visual Illusion Depth Estimation

https://github.com/ydyordanov/few-shot-nles

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Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup

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