zchuz / TimeBenchLinks
The repository for ACL 2024 paper "TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models"
☆32Updated last year
Alternatives and similar repositories for TimeBench
Users that are interested in TimeBench are comparing it to the libraries listed below
Sorting:
- [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"☆76Updated last year
- [EMNLP 2024] The official GitHub repo for the survey paper "Knowledge Conflicts for LLMs: A Survey"☆137Updated last year
- AbstainQA, ACL 2024☆28Updated 11 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆60Updated 11 months ago
- ☆47Updated last year
- [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".☆82Updated 8 months ago
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions☆115Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆120Updated last year
- ☆59Updated last year
- [ICLR 2025] InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆122Updated 7 months ago
- This the implementation of LeCo☆31Updated 8 months ago
- Code and data for "Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?" (ACL 2024)☆32Updated last year
- ☆49Updated 10 months ago
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- Do Large Language Models Know What They Don’t Know?☆99Updated 10 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆70Updated last year
- [ACL 2024] ANAH & [NeurIPS 2024] ANAH-v2 & [ICLR 2025] Mask-DPO☆53Updated 4 months ago
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆63Updated 9 months ago
- Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and…☆50Updated 4 months ago
- [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…☆29Updated last year
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆59Updated 9 months ago
- The official repo of "WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents"☆64Updated last week
- [EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA☆139Updated 10 months ago
- Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering☆61Updated 9 months ago
- Code associated with Tuning Language Models by Proxy (Liu et al., 2024)☆118Updated last year
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆127Updated 6 months ago
- Official Implementation for the paper "Integrative Decoding: Improving Factuality via Implicit Self-consistency"☆30Updated 5 months ago
- Code for the 2025 ACL publication "Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs"☆33Updated 2 months ago
- ☆75Updated last year