· ai
Why AI Alignment Starts With Better Evaluation
You can’t align what you don’t evaluate The post Why AI Alignment Starts With Better Evaluation appeared first on Towards Data Science....
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- · ai
[Paper] Escaping the Verifier: Learning to Reason via Demonstrations
Training Large Language Models (LLMs) to reason often relies on Reinforcement Learning (RL) with task-specific verifiers. However, many real-world reasoning-int...
- · ai
[Paper] Aligning LLMs Toward Multi-Turn Conversational Outcomes Using Iterative PPO
Optimizing large language models (LLMs) for multi-turn conversational outcomes remains a significant challenge, especially in goal-oriented settings like AI mar...
- · ai
[Paper] Can LLMs extract human-like fine-grained evidence for evidence-based fact-checking?
Misinformation frequently spreads in user comments under online news articles, highlighting the need for effective methods to detect factually incorrect informa...
- · ai
[Paper] Even with AI, Bijection Discovery is Still Hard: The Opportunities and Challenges of OpenEvolve for Novel Bijection Construction
Evolutionary program synthesis systems such as AlphaEvolve, OpenEvolve, and ShinkaEvolve offer a new approach to AI-assisted mathematical discovery. These syste...
- · ai
[Paper] Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache Management
The rapid increase in LLM model sizes and the growing demand for long-context inference have made memory a critical bottleneck in GPU-accelerated serving system...
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[Paper] CodeFuse-CommitEval: Towards Benchmarking LLM's Power on Commit Message and Code Change Inconsistency Detection
Version control relies on commit messages to convey the rationale for code changes, but these messages are often low quality and, more critically, inconsistent ...
- · ai
[Paper] Can LLMs Recover Program Semantics? A Systematic Evaluation with Symbolic Execution
Obfuscation poses a persistent challenge for software engineering tasks such as program comprehension, maintenance, testing, and vulnerability detection. While ...