bowen-upenn / llm_token_biasLinks
[EMNLP 2024] A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
☆24Updated 7 months ago
Alternatives and similar repositories for llm_token_bias
Users that are interested in llm_token_bias are comparing it to the libraries listed below
Sorting:
- Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting☆32Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆62Updated 8 months ago
- Evaluate the Quality of Critique☆36Updated last year
- Code for the 2025 ACL publication "Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs"☆29Updated last month
- The source code for running LLMs on the AAAR-1.0 benchmark.☆17Updated 4 months ago
- In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)☆61Updated last year
- ☆26Updated 3 months ago
- Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data☆42Updated 5 months ago
- AbstainQA, ACL 2024☆27Updated 9 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆26Updated last year
- SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433☆28Updated 8 months ago
- Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".☆78Updated last year
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆127Updated last year
- Code for "Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model", EMNLP Findings 20…☆28Updated last year
- The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"☆38Updated last year
- Exploration of automated dataset selection approaches at large scales.☆47Updated 5 months ago
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆57Updated 11 months ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated 2 months ago
- The Paper List on Data Contamination for Large Language Models Evaluation.☆98Updated 3 weeks ago
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆34Updated 2 years ago
- [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"☆108Updated 2 years ago
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆54Updated last year
- [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers☆151Updated 5 months ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆68Updated 2 years ago
- [ACL 2025] Are Your LLMs Capable of Stable Reasoning?☆29Updated this week
- Resolving Knowledge Conflicts in Large Language Models, COLM 2024☆17Updated last month
- ☆49Updated 11 months ago
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆73Updated 8 months ago
- PASTA: Post-hoc Attention Steering for LLMs☆122Updated 8 months ago
- [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors☆78Updated 7 months ago