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Hallucination
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/trae1oung/dyprag
공식 코드Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
https://github.com/tree985/treble-counterfactual-vlms
공식 코드Treble Counterfactual VLMs: A Causal Approach to Hallucination
https://github.com/tri-ml/prismatic-vlms
공식 코드Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
https://github.com/tri-ml/vlm-evaluation
공식 코드Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
https://github.com/trustedllm/regavae
공식 코드RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling
https://github.com/truthai-lab/soradetector
공식 코드Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models
https://github.com/tsinghua-dhy/ceg
공식 코드https://github.com/tsinghua-dhy/edc-2-rag
공식 코드Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation
https://github.com/tsinghuac3i/fs-gen
공식 코드https://github.com/tsinghuadatabasegroup/db-gpt
공식 코드https://github.com/tsunghan-wu/reverse_vlm
공식 코드Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
https://github.com/tuetschek/e2e-cleaning
공식 코드Semantic Noise Matters for Neural Natural Language Generation
https://github.com/tuyunbin/scorer
공식 코드Self-supervised Cross-view Representation Reconstruction for Change Captioning
https://github.com/uclanlp/biases-llm-reference-letters
공식 코드"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters
https://github.com/ucsb-nlp-chang/btprop
공식 코드A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
https://github.com/uic-nlp-lab/calsum
공식 코드Abstract Meaning Representation for Hospital Discharge Summarization
https://github.com/uiuc-arc/itergen
공식 코드IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking
https://github.com/ukplab/arxiv2024-lfqa-hallucination
공식 코드Localizing and Mitigating Errors in Long-form Question Answering
https://github.com/ukplab/iclr2025-psa
공식 코드Differentially Private Steering for Large Language Model Alignment
https://github.com/umd-huang-lab/sima
공식 코드Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
https://github.com/unites-lab/moe-rbench
공식 코드$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
https://github.com/ustc-hyin/ClearSight
공식 코드https://github.com/ustcagi/pruningrag
공식 코드Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
https://github.com/ustcagi/rag-x
공식 코드Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study
https://github.com/vectara/FaithJudge
공식 코드Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards
https://github.com/vectara/faithbench
공식 코드FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
https://github.com/vegarant/troublesome_kernel
공식 코드https://github.com/vicky-wil/monitor
공식 코드https://github.com/video-as-agent/videoagent
공식 코드https://github.com/vincentleebang/eureqa
공식 코드Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
https://github.com/violet-zct/fairseq-detect-hallucination
공식 코드Detecting Hallucinated Content in Conditional Neural Sequence Generation
https://github.com/vista-h/gpt-4v_social_media
공식 코드https://github.com/visual-agent/deepeyes
공식 코드DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
https://github.com/voidism/lookback-lens
공식 코드https://github.com/vr25/hallucination-foundation-model-survey
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.