Papers by Alec M. Chiu

2 papers
Ada-RS: Adaptive Rejection Sampling for Selective Thinking (2026.acl-industry)

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Challenge: Large language models are increasingly being deployed in cost- and latency-sensitive settings . chain-of-thought improves reasoning, but it can waste tokens on simple requests .
Approach: They introduce an algorithm-agnostic sample filtering framework for learning selective reasoning . they show that Ada-RS reduces average output tokens by 80% and reducing thinking rate by 5% .
Outcome: The proposed framework reduces output tokens by 80% and thinking rate by 95% on a synthetic tool call-oriented e-commerce benchmark.
Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents (2026.acl-industry)

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Challenge: Existing agentic benchmarks rely on deterministic backends and are costly to build and iterate.
Approach: They propose a framework that preserves final state-based evaluation without a deterministic database.
Outcome: The proposed framework produces stable, model-differentiating rankings across families and inference-time reasoning efforts.

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